Paper Citation Record · LEDGER

Hybrid Dense-UNet201 Optimization for Pap Smear Image Segmentation Using Spider Monkey Optimization

As of 22 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2504.12807.

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

pith.paper-citation-record.v1
2504.12807 v1

Coverage vector

measured 42 of 42 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-16T12:25:31.217017Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

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Pith citing papers itemized under the disclosed page cap.

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

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Reference resolution

42 of 42 outbound references displayed

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External citation measurements

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Outbound references

Observation ae15f076-4f80-422e-9259-d8e0ca35db11 · outbound

This paper cites Cervical cancer is a major health concern for women worldwide.

Hybrid Dense-UNet201 Optimization for Pap Smear Image Segmentation Using Spider Monkey Optimization Cervical cancer is a major health concern for women worldwide

Reference 1

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Observation 093560d0-3993-4e96-bcac-f0e2d54a62eb · outbound

This paper cites Pap Smear Images, Preprocessing, and Annotation Process The SIPaKMeD dataset was used to evaluate SMO Dense-UNet201.

Hybrid Dense-UNet201 Optimization for Pap Smear Image Segmentation Using Spider Monkey Optimization Pap Smear Images, Preprocessing, and Annotation Process The SIPaKMeD dataset was used to evaluate SMO Dense-UNet201

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:25:32.340160Z

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Observation a4de2a07-e311-4049-947e-56c854872066 · outbound

This paper cites Simulations were conducted using the SIPaKMeD dataset.

Hybrid Dense-UNet201 Optimization for Pap Smear Image Segmentation Using Spider Monkey Optimization Simulations were conducted using the SIPaKMeD dataset

Reference 3

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Observation 6c5763be-1528-4781-bd2c-bf5ab7d3d4df · outbound

This paper cites Results showed that Hybrid Dense-UNet201 consistently outperformed U- Net, Res-UNet50, and Efficient -UNetB0 in accuracy, IoU, a nd Dice coefficient.

Hybrid Dense-UNet201 Optimization for Pap Smear Image Segmentation Using Spider Monkey Optimization Results showed that Hybrid Dense-UNet201 consistently outperformed U- Net, Res-UNet50, and Efficient -UNetB0 in accuracy, IoU, a nd Dice coefficient

Reference 4

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Observation 7819d984-eaca-40f7-8fe1-bd8ad900fc9f · outbound

This paper cites an unresolved cited work.

Hybrid Dense-UNet201 Optimization for Pap Smear Image Segmentation Using Spider Monkey Optimization Unresolved cited work

Reference 5

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Observation 61a2c596-d572-4ec4-9e8d-11b7ff953047 · outbound

This paper cites Curigliano et al., ‘Management of cardiac disease in cancer patients throughout oncological treatment: ESMO consensus recommendations’, Annals of Oncology , vol.

Hybrid Dense-UNet201 Optimization for Pap Smear Image Segmentation Using Spider Monkey Optimization Curigliano et al., ‘Management of cardiac disease in cancer patients throughout oncological treatment: ESMO consensus recommendations’, Annals of Oncology , vol

Reference 6

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Observation 599c1273-6add-47bb-9f07-65bf0ea755d0 · outbound

This paper cites Kavitha et al., ‘Ant colony optimization -enabled CNN deep learning technique for accurate detection of cervical cancer’, Biomed Res Int, vol.

Hybrid Dense-UNet201 Optimization for Pap Smear Image Segmentation Using Spider Monkey Optimization Kavitha et al., ‘Ant colony optimization -enabled CNN deep learning technique for accurate detection of cervical cancer’, Biomed Res Int, vol

Reference 7

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retraction dated 2024-01-10. Source: crossref record 10.1155/2024/9878397->10.1155/2023/1742891:retraction, observed 2026-07-11T02:51:15.218827+00:00. This notice travels one citation hop only.

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Observation 91a90fd3-0b3f-414e-a59c-98c6f93f3cde · outbound

This paper cites Sambyal and A.

Hybrid Dense-UNet201 Optimization for Pap Smear Image Segmentation Using Spider Monkey Optimization Sambyal and A

Reference 8

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Observation e85d4dde-0479-49e7-abc0-41514801375b · outbound

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Hybrid Dense-UNet201 Optimization for Pap Smear Image Segmentation Using Spider Monkey Optimization Unresolved cited work

Reference 9

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Observation 1dd284af-8268-4e81-a0a5-8e53c7187069 · outbound

This paper cites Zhang, A.

Hybrid Dense-UNet201 Optimization for Pap Smear Image Segmentation Using Spider Monkey Optimization Zhang, A

Reference 10

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Observation 62fa70a7-b0e0-421c-85b7-21bfad137b32 · outbound

This paper cites Allahqoli et al., ‘Diagnosis of cervical cancer and pre -cancerous lesions by artificial intelligence: A systematic review’, Diagnostics, vol.

Hybrid Dense-UNet201 Optimization for Pap Smear Image Segmentation Using Spider Monkey Optimization Allahqoli et al., ‘Diagnosis of cervical cancer and pre -cancerous lesions by artificial intelligence: A systematic review’, Diagnostics, vol

Reference 11

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Observation 485bd87a-4ae5-4b37-8432-01a062469ed6 · outbound

This paper cites Chitra and S.

Hybrid Dense-UNet201 Optimization for Pap Smear Image Segmentation Using Spider Monkey Optimization Chitra and S

Reference 12

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Observation 196cd1df-9f45-4f10-9cb3-182e5713d7dd · outbound

This paper cites William, A.

Hybrid Dense-UNet201 Optimization for Pap Smear Image Segmentation Using Spider Monkey Optimization William, A

Reference 13

Resolution: verified exact; doi, observed 2026-08-16T12:25:31.431502Z

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Observation 78217954-98b9-44d4-9a6b-3a384f099cfa · outbound

This paper cites an unresolved cited work.

Hybrid Dense-UNet201 Optimization for Pap Smear Image Segmentation Using Spider Monkey Optimization Unresolved cited work

Reference 14

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Observation 172e2498-d9eb-4f59-aba7-1a8143fc4c4c · outbound

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Hybrid Dense-UNet201 Optimization for Pap Smear Image Segmentation Using Spider Monkey Optimization Unresolved cited work

Reference 15

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Observation 4553263b-0cca-40c5-b01a-65d92dcd4f14 · outbound

This paper cites Ronneberger, P.

Hybrid Dense-UNet201 Optimization for Pap Smear Image Segmentation Using Spider Monkey Optimization Ronneberger, P

Reference 16

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Observation c8655213-1017-4f2a-adb4-fad11b5fc944 · outbound

This paper cites Ghaznavi, R.

Hybrid Dense-UNet201 Optimization for Pap Smear Image Segmentation Using Spider Monkey Optimization Ghaznavi, R

Reference 17

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Observation 0998e50b-4570-4b95-9d2c-f290547c089a · outbound

This paper cites Azad et al., ‘Medical Image Segmentation Review: The Success of U-Net’, IEEE Trans Pattern Anal Mach Intell, vol.

Hybrid Dense-UNet201 Optimization for Pap Smear Image Segmentation Using Spider Monkey Optimization Azad et al., ‘Medical Image Segmentation Review: The Success of U-Net’, IEEE Trans Pattern Anal Mach Intell, vol

Reference 18

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This paper cites Kora et al., ‘Transfer learning techniques for medical image analysis: A review’, Biocybern Biomed Eng, vol.

Hybrid Dense-UNet201 Optimization for Pap Smear Image Segmentation Using Spider Monkey Optimization Kora et al., ‘Transfer learning techniques for medical image analysis: A review’, Biocybern Biomed Eng, vol

Reference 19

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Observation bac12e59-160b-4aed-b829-488bd8789f42 · outbound

This paper cites Chamseddine, N.

Hybrid Dense-UNet201 Optimization for Pap Smear Image Segmentation Using Spider Monkey Optimization Chamseddine, N

Reference 20

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Observation 45744a9f-81ae-4009-95b1-73c95beba46f · outbound

This paper cites Ghosh, A.

Hybrid Dense-UNet201 Optimization for Pap Smear Image Segmentation Using Spider Monkey Optimization Ghosh, A

Reference 21

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Observation 54c62f6c-9e63-496b-8d75-3851c414b6a8 · outbound

This paper cites Praneeth, N.

Hybrid Dense-UNet201 Optimization for Pap Smear Image Segmentation Using Spider Monkey Optimization Praneeth, N

Reference 22

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Observation 50f19ed8-deb3-4110-8c6b-ffd820c6733a · outbound

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Hybrid Dense-UNet201 Optimization for Pap Smear Image Segmentation Using Spider Monkey Optimization Unresolved cited work

Reference 23

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Observation f745667d-c62a-4e61-baf5-9474fc0d227b · outbound

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Hybrid Dense-UNet201 Optimization for Pap Smear Image Segmentation Using Spider Monkey Optimization Unresolved cited work

Reference 24

Resolution: verified exact; doi, observed 2026-08-16T12:25:31.360378Z

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Observation a1708e49-0e16-4174-900d-146546324c4b · outbound

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Hybrid Dense-UNet201 Optimization for Pap Smear Image Segmentation Using Spider Monkey Optimization Unresolved cited work

Reference 25

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Observation 3efbbb47-74d4-4009-b9f4-3d95e9448c56 · outbound

This paper cites Sachdeva, A.

Hybrid Dense-UNet201 Optimization for Pap Smear Image Segmentation Using Spider Monkey Optimization Sachdeva, A

Reference 26

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Observation 9099c862-dee3-4f77-81c2-2abf7bbe35b5 · outbound

This paper cites Sharma and R.

Hybrid Dense-UNet201 Optimization for Pap Smear Image Segmentation Using Spider Monkey Optimization Sharma and R

Reference 27

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Observation 79991162-28a1-46d7-ae4d-7b1b980ed848 · outbound

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Hybrid Dense-UNet201 Optimization for Pap Smear Image Segmentation Using Spider Monkey Optimization Unresolved cited work

Reference 28

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Observation bba9d3dd-25de-4a60-b2c3-9b46aa4ae31c · outbound

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Hybrid Dense-UNet201 Optimization for Pap Smear Image Segmentation Using Spider Monkey Optimization Unresolved cited work

Reference 29

Resolution: verified exact; raw_fallback, observed 2026-08-16T12:25:31.727304Z

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Observation 638602d1-6b1a-45e8-858e-6caa768a603d · outbound

This paper cites Kamalaveni, R.

Hybrid Dense-UNet201 Optimization for Pap Smear Image Segmentation Using Spider Monkey Optimization Kamalaveni, R

Reference 30

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Observation 1852f854-e7ec-4682-be85-34f8636a9496 · outbound

This paper cites Kumari, A.

Hybrid Dense-UNet201 Optimization for Pap Smear Image Segmentation Using Spider Monkey Optimization Kumari, A

Reference 31

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Observation e35ca67f-ed7f-4c93-b2f2-be65249635c8 · outbound

This paper cites Khare et al., ‘SMO-DNN: Spider Monkey Optimization and Deep Neural Network Hybrid Classifier Model for Intrusion Detection’, Electronics (Basel), vol.

Hybrid Dense-UNet201 Optimization for Pap Smear Image Segmentation Using Spider Monkey Optimization Khare et al., ‘SMO-DNN: Spider Monkey Optimization and Deep Neural Network Hybrid Classifier Model for Intrusion Detection’, Electronics (Basel), vol

Reference 32

Resolution: verified exact; doi, observed 2026-08-16T12:25:31.313280Z

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Observation 0c75fd85-a51b-423e-abcc-067f1da418a5 · outbound

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Hybrid Dense-UNet201 Optimization for Pap Smear Image Segmentation Using Spider Monkey Optimization Unresolved cited work

Reference 33

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Observation 8799514b-f452-4992-a54c-05b82f915c3e · outbound

This paper cites Kiran, J.

Hybrid Dense-UNet201 Optimization for Pap Smear Image Segmentation Using Spider Monkey Optimization Kiran, J

Reference 34

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Observation c8e4d7fa-7e0e-4b1f-a6cc-a3d19f18d906 · outbound

This paper cites Khozaimi, I.

Hybrid Dense-UNet201 Optimization for Pap Smear Image Segmentation Using Spider Monkey Optimization Khozaimi, I

Reference 35

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Observation 83ba34b7-db5d-47d8-b36d-9dd5214a4a15 · outbound

This paper cites Hayati et al., ‘Impact of CLAHE -based image enhancement for diabetic retinopathy classification through deep learning’, in Procedia Computer Science, Elsevier B.V., 2022, pp.

Hybrid Dense-UNet201 Optimization for Pap Smear Image Segmentation Using Spider Monkey Optimization Hayati et al., ‘Impact of CLAHE -based image enhancement for diabetic retinopathy classification through deep learning’, in Procedia Computer Science, Elsevier B.V., 2022, pp

Reference 36

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Observation 50032876-94ed-4507-916a-d4797ef4793e · outbound

This paper cites Khozaimi and W.

Hybrid Dense-UNet201 Optimization for Pap Smear Image Segmentation Using Spider Monkey Optimization Khozaimi and W

Reference 37

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Source-reported events for the cited work

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Observation 3e711631-a979-4226-b7c4-72684e1f580c · outbound

This paper cites Huang, Z.

Hybrid Dense-UNet201 Optimization for Pap Smear Image Segmentation Using Spider Monkey Optimization Huang, Z

Reference 38

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Observation 74554fbf-039a-4369-848b-8413c59ef565 · outbound

This paper cites Agrawal, D.

Hybrid Dense-UNet201 Optimization for Pap Smear Image Segmentation Using Spider Monkey Optimization Agrawal, D

Reference 39

Resolution: verified exact; doi, observed 2026-08-16T12:25:31.272290Z

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Observation 578d5052-a541-4dd7-8a60-dbc0a0dd262f · outbound

This paper cites an unresolved cited work.

Hybrid Dense-UNet201 Optimization for Pap Smear Image Segmentation Using Spider Monkey Optimization Unresolved cited work

Reference 41

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Observation 86ffe715-04a8-4ab3-8f01-1008ada88ffd · outbound

This paper cites Zhang et al., ‘ME-Net: Multi-encoder net framework for brain tumor segmentation’, Int J Imaging Syst Technol, vol.

Hybrid Dense-UNet201 Optimization for Pap Smear Image Segmentation Using Spider Monkey Optimization Zhang et al., ‘ME-Net: Multi-encoder net framework for brain tumor segmentation’, Int J Imaging Syst Technol, vol

Reference 42

Resolution: verified exact; doi, observed 2026-08-16T12:25:31.251237Z

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

Observation 0a79be32-0f9a-49db-9ddc-60444120a132 · outbound

This paper cites The final layer converts the features into an output segmentation map.

Hybrid Dense-UNet201 Optimization for Pap Smear Image Segmentation Using Spider Monkey Optimization The final layer converts the features into an output segmentation map

Reference 64

Resolution: malformed identifier; raw_fallback, observed 2026-08-16T12:25:32.326020Z

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

Pith citing papers

No inbound Pith citation observations are available.