Paper Citation Record · LEDGER

FunduSAM: A Specialized Deep Learning Model for Enhanced Optic Disc and Cup Segmentation in Fundus Images

As of 10 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2502.06220.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2502.06220 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:25:20.098542Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

29 of 29 outbound references displayed

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External citation measurements

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Outbound references

Observation ac3909c5-f4a7-4418-b574-9d5536fbd3e4 · outbound

This paper cites Ranking of optic disc variables for detection of glaucomatous optic nerve damage.

FunduSAM: A Specialized Deep Learning Model for Enhanced Optic Disc and Cup Segmentation in Fundus Images Ranking of optic disc variables for detection of glaucomatous optic nerve damage

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:25:20.433992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation df2550ef-2c1f-4962-b964-c9908fb6be8a · outbound

This paper cites Fully convolutional networks for semantic segmentation.

FunduSAM: A Specialized Deep Learning Model for Enhanced Optic Disc and Cup Segmentation in Fundus Images Fully convolutional networks for semantic segmentation

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:25:20.422973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 63a38cda-4d5c-48e1-b720-b61070aecd39 · outbound

This paper cites U-net: Con- volutional networks for biomedical image segmentation.

FunduSAM: A Specialized Deep Learning Model for Enhanced Optic Disc and Cup Segmentation in Fundus Images U-net: Con- volutional networks for biomedical image segmentation

Reference 3

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Observation 91d51092-9ede-44c4-8f78-3854059727d7 · outbound

This paper cites Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs.

FunduSAM: A Specialized Deep Learning Model for Enhanced Optic Disc and Cup Segmentation in Fundus Images Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:25:20.403240Z

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Observation 740d35a0-3bae-4847-927e-556798c1e068 · outbound

This paper cites Mask r-cnn.

FunduSAM: A Specialized Deep Learning Model for Enhanced Optic Disc and Cup Segmentation in Fundus Images Mask r-cnn

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-08T16:25:20.013201Z

Source-reported events for the cited work

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Observation adcf0af5-b513-42e6-8d33-b1967a9d4672 · outbound

This paper cites Segment anything.

FunduSAM: A Specialized Deep Learning Model for Enhanced Optic Disc and Cup Segmentation in Fundus Images Segment anything

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:25:20.383823Z

Source-reported events for the cited work

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Observation cf6d0fa2-5e11-4788-a684-ec9fcee8a7cf · outbound

This paper cites Customized segment anything model for medical image segmentation, 2023.

FunduSAM: A Specialized Deep Learning Model for Enhanced Optic Disc and Cup Segmentation in Fundus Images Customized segment anything model for medical image segmentation, 2023

Reference 7

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Observation 0a13fbe7-30c8-4ee1-84f0-5f13a3ec10e9 · outbound

This paper cites Seg- ment anything in medical images.

FunduSAM: A Specialized Deep Learning Model for Enhanced Optic Disc and Cup Segmentation in Fundus Images Seg- ment anything in medical images

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:25:20.365338Z

Source-reported events for the cited work

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Observation fb17e413-57da-4156-8b68-8223f0e1b187 · outbound

This paper cites How to Efficiently Adapt Large Segmentation Model(SAM) to Medical Images.

FunduSAM: A Specialized Deep Learning Model for Enhanced Optic Disc and Cup Segmentation in Fundus Images How to Efficiently Adapt Large Segmentation Model(SAM) to Medical Images

Reference 9

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Source-reported events for the cited work

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Observation 78820f78-3c5c-4cf2-a3fc-b8421f05599f · outbound

This paper cites Medical sam adapter: Adapting segment anything model for medical image segmentation, 2023.

FunduSAM: A Specialized Deep Learning Model for Enhanced Optic Disc and Cup Segmentation in Fundus Images Medical sam adapter: Adapting segment anything model for medical image segmentation, 2023

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-08T16:25:20.031293Z

Source-reported events for the cited work

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Observation 8ecfe6b5-5915-4940-8406-011eeb8f8cf0 · outbound

This paper cites Beyond Adapting SAM: Towards End-to-End Ultrasound Image Segmentation via Auto Prompting.

FunduSAM: A Specialized Deep Learning Model for Enhanced Optic Disc and Cup Segmentation in Fundus Images Beyond Adapting SAM: Towards End-to-End Ultrasound Image Segmentation via Auto Prompting

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-08T16:25:20.034363Z

Source-reported events for the cited work

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Observation c2ea6ed4-dd91-4005-81da-35822d778565 · outbound

This paper cites Parameter-efficient transfer learning for nlp.

FunduSAM: A Specialized Deep Learning Model for Enhanced Optic Disc and Cup Segmentation in Fundus Images Parameter-efficient transfer learning for nlp

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:25:20.344558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 60a9a66c-afd3-4381-b8c6-8f426df52ed8 · outbound

This paper cites Parameter-efficient transfer learning with diff pruning, 2020.

FunduSAM: A Specialized Deep Learning Model for Enhanced Optic Disc and Cup Segmentation in Fundus Images Parameter-efficient transfer learning with diff pruning, 2020

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:25:20.332553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 51420a45-f396-4973-8dd6-abb51b90c382 · outbound

This paper cites The power of scale for parameter-efficient prompt tuning.

FunduSAM: A Specialized Deep Learning Model for Enhanced Optic Disc and Cup Segmentation in Fundus Images The power of scale for parameter-efficient prompt tuning

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:25:20.321229Z

Source-reported events for the cited work

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Observation cbff69ee-060c-4b01-ac50-7fc2f6a1cbe4 · outbound

This paper cites Prefix-tuning: Optimizing continuous prompts for generation.

FunduSAM: A Specialized Deep Learning Model for Enhanced Optic Disc and Cup Segmentation in Fundus Images Prefix-tuning: Optimizing continuous prompts for generation

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:25:20.310704Z

Source-reported events for the cited work

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Observation e3232db7-c297-4d2a-89e0-d26bf2001f43 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

FunduSAM: A Specialized Deep Learning Model for Enhanced Optic Disc and Cup Segmentation in Fundus Images LoRA: Low-Rank Adaptation of Large Language Models

Reference 16

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Source-reported events for the cited work

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Observation 3b0727d9-debe-4992-98ed-f0abb91364ab · outbound

This paper cites Parameter-efficient model adaptation for vision transformers.

FunduSAM: A Specialized Deep Learning Model for Enhanced Optic Disc and Cup Segmentation in Fundus Images Parameter-efficient model adaptation for vision transformers

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:25:20.299950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3d5f657a-c4f8-41f0-80ab-04b77f80c03a · outbound

This paper cites Adaptformer: Adapting vision transformers for scalable visual recognition, 2022.

FunduSAM: A Specialized Deep Learning Model for Enhanced Optic Disc and Cup Segmentation in Fundus Images Adaptformer: Adapting vision transformers for scalable visual recognition, 2022

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:25:20.287922Z

Source-reported events for the cited work

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Observation 7f4076fe-69dc-437b-819b-ffec4b62040c · outbound

This paper cites Cbam: Convolutional block attention module.

FunduSAM: A Specialized Deep Learning Model for Enhanced Optic Disc and Cup Segmentation in Fundus Images Cbam: Convolutional block attention module

Reference 19

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Source-reported events for the cited work

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Observation 7a6e894c-21bd-4e00-8bcc-1035d4daeb86 · outbound

This paper cites A cbam based multiscale transformer fusion approach for remote sensing image change detection.

FunduSAM: A Specialized Deep Learning Model for Enhanced Optic Disc and Cup Segmentation in Fundus Images A cbam based multiscale transformer fusion approach for remote sensing image change detection

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:25:20.268545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 558abd1c-472f-4c0b-bf1d-19c9551b8ee3 · outbound

This paper cites Joint optic disc and cup segmentation based on multi-label deep network and polar transformation.

FunduSAM: A Specialized Deep Learning Model for Enhanced Optic Disc and Cup Segmentation in Fundus Images Joint optic disc and cup segmentation based on multi-label deep network and polar transformation

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:25:20.257387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 73af19a0-8b41-4c74-ae2f-3ea23867e830 · outbound

This paper cites Efficient optic cup detection from intra-image learning with retinal structure priors.

FunduSAM: A Specialized Deep Learning Model for Enhanced Optic Disc and Cup Segmentation in Fundus Images Efficient optic cup detection from intra-image learning with retinal structure priors

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:25:20.246650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bf7c8b0e-bdf9-4d11-8330-fc3c79c45ecb · outbound

This paper cites Refuge2 challenge: A treasure trove for multi-dimension analysis and evaluation in glaucoma screening, 2022.

FunduSAM: A Specialized Deep Learning Model for Enhanced Optic Disc and Cup Segmentation in Fundus Images Refuge2 challenge: A treasure trove for multi-dimension analysis and evaluation in glaucoma screening, 2022

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:25:20.235682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c1bb0457-a8f8-445e-aa17-9042b0027987 · outbound

This paper cites V-net: Fully convolutional neural networks for volumetric medical image segmentation, 2016.

FunduSAM: A Specialized Deep Learning Model for Enhanced Optic Disc and Cup Segmentation in Fundus Images V-net: Fully convolutional neural networks for volumetric medical image segmentation, 2016

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:25:20.222969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation af2a49c0-5b63-4940-aaf5-9f9489d1fca0 · outbound

This paper cites Road extraction by deep residual u-net.

FunduSAM: A Specialized Deep Learning Model for Enhanced Optic Disc and Cup Segmentation in Fundus Images Road extraction by deep residual u-net

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:25:20.210153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 485d115c-92dc-4af1-ada5-fb15d0df2c3c · outbound

This paper cites nnu-net: a self-configuring method for deep learning-based biomedical image segmentation.

FunduSAM: A Specialized Deep Learning Model for Enhanced Optic Disc and Cup Segmentation in Fundus Images nnu-net: a self-configuring method for deep learning-based biomedical image segmentation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:25:20.198412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9fb63514-8b80-4aac-948f-389dfb352fb7 · outbound

This paper cites Transunet: Transformers make strong encoders for medical image segmentation, 2021.

FunduSAM: A Specialized Deep Learning Model for Enhanced Optic Disc and Cup Segmentation in Fundus Images Transunet: Transformers make strong encoders for medical image segmentation, 2021

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:25:20.186968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 215401ab-eb64-4155-bf6f-efd0506607c5 · outbound

This paper cites Swin unetr: Swin transformers for semantic segmentation of brain tumors in mri images, 2021.

FunduSAM: A Specialized Deep Learning Model for Enhanced Optic Disc and Cup Segmentation in Fundus Images Swin unetr: Swin transformers for semantic segmentation of brain tumors in mri images, 2021

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:25:20.175417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 57f7ee5d-99e8-43bd-bef2-1aa8896f6bae · outbound

This paper cites Robust optic disc and cup segmentation with deep learning for glaucoma detection.

FunduSAM: A Specialized Deep Learning Model for Enhanced Optic Disc and Cup Segmentation in Fundus Images Robust optic disc and cup segmentation with deep learning for glaucoma detection

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:25:20.163640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

No inbound Pith citation observations are available.