Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation | Paper Citation Record

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This paper cites Cancer statistics,.

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation Cancer statistics,

Reference 1

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Observation f31452da-6e1c-4d49-8be9-189d61343d14 · outbound

This paper cites Cancer statistics, 2023.

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation Cancer statistics, 2023

Reference 2

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Observation 4dc24a41-2586-4d76-a2af-3957a389e72e · outbound

This paper cites Cervical cancer.

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation Cervical cancer

Reference 3

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This paper cites Cervical cancer kills 300,000 people a year—here’s how to speed up its elimination.Nature, 626(7997):30–32, 2024.

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation Cervical cancer kills 300,000 people a year—here’s how to speed up its elimination.Nature, 626(7997):30–32, 2024

Reference 4

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Observation 16cce2aa-9de8-4b2c-bd36-0ae46a33d48b · outbound

This paper cites Global strategy to accelerate the elimination of cervical cancer as a public health problem.

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation Global strategy to accelerate the elimination of cervical cancer as a public health problem

Reference 5

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Observation 41a982fd-9812-495e-979d-69bf030944e8 · outbound

This paper cites Cervical cancer prognosis and survival rates.

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation Cervical cancer prognosis and survival rates

Reference 6

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Observation 600a982e-a5a7-4b14-808c-960efcb574c5 · outbound

This paper cites “smart” cytology: The next generation cytology for precision diagnosis.

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation “smart” cytology: The next generation cytology for precision diagnosis

Reference 7

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Observation e01e5d91-480f-4c3f-9063-32b072ff75be · outbound

This paper cites Discrepancy between cytology and histology in cervical cancer screening: a mul- ticenter retrospective study (kgog 1040).

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation Discrepancy between cytology and histology in cervical cancer screening: a mul- ticenter retrospective study (kgog 1040)

Reference 8

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Observation 31ae3629-2ca0-44ba-a8af-f07b0be33930 · outbound

This paper cites The Bethesda system for reporting cervical cytology: definitions, criteria, and explanatory notes.

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation The Bethesda system for reporting cervical cytology: definitions, criteria, and explanatory notes

Reference 9

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Observation c41f1cfb-8e13-4be2-9d4b-5c09138ce68f · outbound

This paper cites Sipakmed: A new dataset for feature and image based classification of normal and pathological cervical cells in pap smear images.

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation Sipakmed: A new dataset for feature and image based classification of normal and pathological cervical cells in pap smear images

Reference 10

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Observation ea5d8cd1-365e-47a7-bed9-7fa9c7ff98f5 · outbound

This paper cites Dual-path network with synergistic grouping loss and evidence driven risk stratification for whole slide cervical image analysis.

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation Dual-path network with synergistic grouping loss and evidence driven risk stratification for whole slide cervical image analysis

Reference 11

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Observation 84927c84-7e04-4ba0-a8a7-abd9f931779b · outbound

This paper cites Deep learning for computational cytology: A survey.

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation Deep learning for computational cytology: A survey

Reference 12

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Observation ea7566ee-0f28-473a-b6f4-ac16aa06dec8 · outbound

This paper cites Pap-smear benchmark data for pattern classification.

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation Pap-smear benchmark data for pattern classification

Reference 13

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This paper cites A New Cervical Cytology Dataset for Nucleus Detection and Image Classification (Cervix93) and Methods for Cervical Nucleus Detection.

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation A New Cervical Cytology Dataset for Nucleus Detection and Image Classification (Cervix93) and Methods for Cervical Nucleus Detection

Reference 14

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This paper cites An improved joint optimiza- tion of multiple level set functions for the segmentation of overlapping cervical cells.

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation An improved joint optimiza- tion of multiple level set functions for the segmentation of overlapping cervical cells

Reference 15

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Observation 633c2511-25dc-43ff-bbbe-d4fe2fb4ad9d · outbound

This paper cites Donet: Deep de-overlapping network for cytology instance segmentation.

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation Donet: Deep de-overlapping network for cytology instance segmentation

Reference 16

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This paper cites Gains: Gradient anomaly-aware biomedical instance segmenta- tion.

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation Gains: Gradient anomaly-aware biomedical instance segmenta- tion

Reference 17

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Observation 5a1ffe7c-4340-4f83-a97e-6a5564f1e81a · outbound

This paper cites Prediction of tumor origin in cancers of unknown primary origin with cytology-based deep learning.

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation Prediction of tumor origin in cancers of unknown primary origin with cytology-based deep learning

Reference 18

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Observation 302ae56a-cbff-4043-be91-1944ae71a174 · outbound

This paper cites A systematic review of deep learning-based cervical cytol- ogy screening: from cell identification to whole slide image analysis.

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation A systematic review of deep learning-based cervical cytol- ogy screening: from cell identification to whole slide image analysis

Reference 19

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Observation 48a9554b-5e67-4774-94d1-ecc61d8f6125 · outbound

This paper cites Robust whole slide image analysis for cervical cancer screening using deep learning.Nature communications, 12(1):5639, 2021.

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation Robust whole slide image analysis for cervical cancer screening using deep learning.Nature communications, 12(1):5639, 2021

Reference 20

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Observation 32ee0b7d-c71e-4b28-9bfc-0970ab515d62 · outbound

This paper cites Artificial intelligence enables precision 24 diagnosis of cervical cytology grades and cervical cancer.Nature Communications, 15(1):4369, 2024.

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation Artificial intelligence enables precision 24 diagnosis of cervical cytology grades and cervical cancer.Nature Communications, 15(1):4369, 2024

Reference 21

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Observation 81e7a806-c4f8-4a83-bb49-314919954f23 · outbound

This paper cites Hybrid ai-assistive diagnostic model permits rapid tbs classification of cervical liquid-based thin-layer cell smears.

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation Hybrid ai-assistive diagnostic model permits rapid tbs classification of cervical liquid-based thin-layer cell smears

Reference 22

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This paper cites Ai-driven cervical cancer cytolog- ical diagnosis solution based on large scale data collections and annotations: A multi-centre clinical validation.

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation Ai-driven cervical cancer cytolog- ical diagnosis solution based on large scale data collections and annotations: A multi-centre clinical validation

Reference 23

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Observation 92a45d66-f738-4e01-9586-c5c428ce13fa · outbound

This paper cites Towards a general-purpose foundation model for computational pathology.

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation Towards a general-purpose foundation model for computational pathology

Reference 24

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Observation 8a23b808-3c98-4700-83b7-ea50c1dd0c51 · outbound

This paper cites Towards A Generalizable Pathology Foundation Model via Unified Knowledge Distillation.

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation Towards A Generalizable Pathology Foundation Model via Unified Knowledge Distillation

Reference 25

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This paper cites Dinov2: Learning robust visual features without supervision.

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation Dinov2: Learning robust visual features without supervision

Reference 26

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This paper cites Holis- tic and historical instance comparison for cervical cell detection.

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation Holis- tic and historical instance comparison for cervical cell detection

Reference 27

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This paper cites An empirical study of training self- supervised vision transformers.

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation An empirical study of training self- supervised vision transformers

Reference 28

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This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks.

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation Faster r-cnn: Towards real-time object detection with region proposal networks

Reference 29

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This paper cites An Efficient Cervical Whole Slide Image Analysis Framework Based on Multi-scale Semantic and Location Deep Features.

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation An Efficient Cervical Whole Slide Image Analysis Framework Based on Multi-scale Semantic and Location Deep Features

Reference 30

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Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation End-to-end object detection with transformers

Reference 31

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This paper cites Deformable DETR: Deformable Transformers for End-to-End Object Detection.

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 32

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Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation atypical

Reference 33

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This paper cites Attention-based deep mul- tiple instance learning.

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation Attention-based deep mul- tiple instance learning

Reference 34

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This paper cites Dual-stream multiple instance learning network for whole slide image classification with self-supervised contrastive learn- ing.

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation Dual-stream multiple instance learning network for whole slide image classification with self-supervised contrastive learn- ing

Reference 35

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This paper cites Transmil: Transformer based correlated multiple instance learning for whole slide image classification.

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation Transmil: Transformer based correlated multiple instance learning for whole slide image classification

Reference 36

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This paper cites Data-efficient and weakly supervised computational pathology on whole-slide images.

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation Data-efficient and weakly supervised computational pathology on whole-slide images

Reference 37

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This paper cites Structured state space models for multiple instance learning in digital pathology.

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation Structured state space models for multiple instance learning in digital pathology

Reference 38

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Observation 611df8fe-33b9-4b2d-86c0-c5db8261f8a8 · outbound

This paper cites Predicting tumour origin with cytology-based deep learning: hype or hope? Nature Reviews Clinical Oncology, pages 1–2, 2024.

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation Predicting tumour origin with cytology-based deep learning: hype or hope? Nature Reviews Clinical Oncology, pages 1–2, 2024

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This paper cites A new paradigm for cytology- based artificial intelligence-assisted prediction for cancers of unknown primary origins.

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation A new paradigm for cytology- based artificial intelligence-assisted prediction for cancers of unknown primary origins

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Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation Unresolved cited work

Reference 41

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Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation A foundation model for clinical-grade computational pathology and rare cancers detection

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Observation 672c51d1-9fc6-4f4e-98e3-4053e4e70f8b · outbound

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Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation A visual-language foundation model for computational pathology

Reference 43

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This paper cites The cancer genome atlas pan-cancer analysis project.

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation The cancer genome atlas pan-cancer analysis project

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Observation 34b188f0-1451-4984-a66b-66469df682eb · outbound

This paper cites Deep learning models for thyroid nodules diagnosis of fine-needle aspiration biopsy: a retrospective, prospective, multicentre study in china.

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation Deep learning models for thyroid nodules diagnosis of fine-needle aspiration biopsy: a retrospective, prospective, multicentre study in china

Reference 45

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This paper cites Cytol- ogy assessment can predict survival for patients with metastatic pancreatic neuroendocrine neoplasms.

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation Cytol- ogy assessment can predict survival for patients with metastatic pancreatic neuroendocrine neoplasms

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This paper cites Gas- tric cancer with positive peritoneal cytology: survival benefit after induction chemotherapy and conversion to negative peritoneal cytology.

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation Gas- tric cancer with positive peritoneal cytology: survival benefit after induction chemotherapy and conversion to negative peritoneal cytology

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This paper cites Current role of cytopathology in the molecular and computational era: The perspective of young pathologists.

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation Current role of cytopathology in the molecular and computational era: The perspective of young pathologists

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Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation Unresolved cited work

Reference 49

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Observation c230f118-56d9-4353-9406-67d59a3b2a83 · outbound

This paper cites Openslide: A vendor-neutral software foundation for digital pathology.

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation Openslide: A vendor-neutral software foundation for digital pathology

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:54:57.812864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9d0ac0a8-8f98-4e65-933b-5fc00cf51042 · outbound

This paper cites A visual–language foundation model for pathology image analysis using medical twitter.

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation A visual–language foundation model for pathology image analysis using medical twitter

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:54:57.805707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 392b9067-c6f3-42d1-8342-bda40dcb7c6b · outbound

This paper cites Transformer-based unsupervised contrastive learning for histopathological image classification.

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation Transformer-based unsupervised contrastive learning for histopathological image classification

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:54:57.798609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8867328c-db86-4b07-ad5a-979191a5b2ab · outbound

This paper cites Less: Label-efficient multi-scale learning for cytological whole slide image screening.

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation Less: Label-efficient multi-scale learning for cytological whole slide image screening

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:54:57.791353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d5c39534-ba62-4605-9a06-2505930ac437 · outbound

This paper cites Hmil: Hier- archical multi-instance learning for fine-grained whole slide image classification.

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation Hmil: Hier- archical multi-instance learning for fine-grained whole slide image classification

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:54:57.783830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c6fb5448-02d0-4c3b-b4ec-770294df8386 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-08T05:54:57.671964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd5d965e-41d1-489a-a872-1d85f0a7f120 · outbound

This paper cites YOLOv3: An Incremental Improvement.

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation YOLOv3: An Incremental Improvement

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-08T05:54:57.674656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 053eeb1f-aa36-4ea1-b939-10e8de3506b8 · outbound

This paper cites Focal loss for dense object detection.

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation Focal loss for dense object detection

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-08T05:54:57.677401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 430d4efa-f38d-4fca-bb78-17b8ae5e9105 · outbound

This paper cites Dataset shift in machine learning.

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation Dataset shift in machine learning

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:54:57.772832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6f5932c0-799b-4212-87da-9e1c553e70ca · outbound

This paper cites Towards Launching AI Algorithms for Cellular Pathology into Clinical & Pharmaceutical Orbits.

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation Towards Launching AI Algorithms for Cellular Pathology into Clinical & Pharmaceutical Orbits

Reference 59

Resolution: verified exact; local_arxiv, observed 2026-08-08T05:54:57.713180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 48f2018d-e918-412a-94d2-c9d66467c108 · outbound

This paper cites Continual test-time domain adaptation.

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation Continual test-time domain adaptation

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-08T05:54:57.685215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23af4f97-e7c2-4368-ba75-5285621dabad · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation Pytorch: An imperative style, high-performance deep learning library

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:54:57.761805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 64dd485d-fffd-43b4-80db-ff87779cc859 · outbound

This paper cites an unresolved cited work.

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation Unresolved cited work

Reference 2024

Resolution: unresolved; raw_fallback, observed 2026-08-08T05:54:58.128921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers