Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T23:29:39.526796Z
Paper Citation Record · LEDGER
As of 16 August 2026, this Paper Citation Record lists 70 of 70 outbound references and 0 inbound Pith citation observations for arXiv:2412.02443.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T23:29:39.526796Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
70 of 70 outbound references displayed
External citation measurements
No source-named external measurement is stored.
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Multi-scale and Multi-path Cascaded Convolutional Network for Semantic Segmentation of Colorectal Polyps Unresolved cited work
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Multi-scale and Multi-path Cascaded Convolutional Network for Semantic Segmentation of Colorectal Polyps Unresolved cited work
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Multi-scale and Multi-path Cascaded Convolutional Network for Semantic Segmentation of Colorectal Polyps Unresolved cited work
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Multi-scale and Multi-path Cascaded Convolutional Network for Semantic Segmentation of Colorectal Polyps These datasets are broadly used in evaluating the performance and efficacy of the various polyp segmentation methods under consideration
Reference 4
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Multi-scale and Multi-path Cascaded Convolutional Network for Semantic Segmentation of Colorectal Polyps Consequently, researchers and medical professionals have recently paid increasing attention to developing such methods
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Multi-scale and Multi-path Cascaded Convolutional Network for Semantic Segmentation of Colorectal Polyps The FE combines with the attention modules and dense skip path segment smaller polyps in the images
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Multi-scale and Multi-path Cascaded Convolutional Network for Semantic Segmentation of Colorectal Polyps Unresolved cited work
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Multi-scale and Multi-path Cascaded Convolutional Network for Semantic Segmentation of Colorectal Polyps Naqvi, and E
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Observation 4099d370-20d4-46b9-944c-b4eff127680c · outbound
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Observation e45177eb-a5fd-4f7f-85de-2b0c8cedfbc0 · outbound
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Multi-scale and Multi-path Cascaded Convolutional Network for Semantic Segmentation of Colorectal Polyps Langah, H.A
Reference 19
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Multi-scale and Multi-path Cascaded Convolutional Network for Semantic Segmentation of Colorectal Polyps Naveed, S.S
Reference 22
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Multi-scale and Multi-path Cascaded Convolutional Network for Semantic Segmentation of Colorectal Polyps Unresolved cited work
Reference 25
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Source-reported events for the cited work
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Multi-scale and Multi-path Cascaded Convolutional Network for Semantic Segmentation of Colorectal Polyps Jinchao, T.M
Reference 27
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Observation d8ecb931-fa63-452d-b87e-2d130c77e0db · outbound
Multi-scale and Multi-path Cascaded Convolutional Network for Semantic Segmentation of Colorectal Polyps Unresolved cited work
Reference 29
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Observation 5b826587-fc3d-4bb9-ac45-ffa1d18093ff · outbound
Multi-scale and Multi-path Cascaded Convolutional Network for Semantic Segmentation of Colorectal Polyps Unresolved cited work
Reference 30
Source-reported events for the cited work
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Observation 2e36424a-0eac-49de-8861-0701d83daf45 · outbound
Multi-scale and Multi-path Cascaded Convolutional Network for Semantic Segmentation of Colorectal Polyps LMBiS-Net: A Lightweight Multipath Bidirectional Skip Connection based CNN for Retinal Blood Vessel Segmentation
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Source-reported events for the cited work
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Observation 4885523a-9b73-4112-8841-20029531fa28 · outbound
Multi-scale and Multi-path Cascaded Convolutional Network for Semantic Segmentation of Colorectal Polyps Unresolved cited work
Reference 32
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Multi-scale and Multi-path Cascaded Convolutional Network for Semantic Segmentation of Colorectal Polyps HarDNet-MSEG: A Simple Encoder-Decoder Polyp Segmentation Neural Network that Achieves over 0.9 Mean Dice and 86 FPS
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Source-reported events for the cited work
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Observation 1f2a50b4-aada-4344-b031-18b999bc04af · outbound
Multi-scale and Multi-path Cascaded Convolutional Network for Semantic Segmentation of Colorectal Polyps Robles-Kelly, and S.S
Reference 34
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Observation c4a98441-3d34-4563-915d-f709f36589ac · outbound
Reference 35
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Observation 8dfcbe39-c44a-41b5-8dd7-276dc08f7dc0 · outbound
Multi-scale and Multi-path Cascaded Convolutional Network for Semantic Segmentation of Colorectal Polyps Unresolved cited work
Reference 36
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Observation 81aa07a1-4d1b-43d7-a1f7-6be9d41a16a5 · outbound
Multi-scale and Multi-path Cascaded Convolutional Network for Semantic Segmentation of Colorectal Polyps Unresolved cited work
Reference 37
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Observation e227c7e0-e56a-44f5-b30b-7b356dc98d64 · outbound
Multi-scale and Multi-path Cascaded Convolutional Network for Semantic Segmentation of Colorectal Polyps Zhao, and Z
Reference 38
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Multi-scale and Multi-path Cascaded Convolutional Network for Semantic Segmentation of Colorectal Polyps Unresolved cited work
Reference 39
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Multi-scale and Multi-path Cascaded Convolutional Network for Semantic Segmentation of Colorectal Polyps Unresolved cited work
Reference 40
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Multi-scale and Multi-path Cascaded Convolutional Network for Semantic Segmentation of Colorectal Polyps Unresolved cited work
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Multi-scale and Multi-path Cascaded Convolutional Network for Semantic Segmentation of Colorectal Polyps Unresolved cited work
Reference 42
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Reference 43
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Reference 44
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Multi-scale and Multi-path Cascaded Convolutional Network for Semantic Segmentation of Colorectal Polyps Siddiquee, N
Reference 45
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Multi-scale and Multi-path Cascaded Convolutional Network for Semantic Segmentation of Colorectal Polyps Unresolved cited work
Reference 48
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Multi-scale and Multi-path Cascaded Convolutional Network for Semantic Segmentation of Colorectal Polyps Unresolved cited work
Reference 49
Source-reported events for the cited work
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Observation fc452bb2-d19a-4875-bc49-45f8362ea60a · outbound
Multi-scale and Multi-path Cascaded Convolutional Network for Semantic Segmentation of Colorectal Polyps TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation
Reference 50
Source-reported events for the cited work
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Multi-scale and Multi-path Cascaded Convolutional Network for Semantic Segmentation of Colorectal Polyps LAPFormer: A Light and Accurate Polyp Segmentation Transformer
Reference 51
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Observation bf595bbf-b8a7-4127-93e6-fbbec55fcf05 · outbound
Reference 52
Source-reported events for the cited work
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Multi-scale and Multi-path Cascaded Convolutional Network for Semantic Segmentation of Colorectal Polyps Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers
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Source-reported events for the cited work
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Multi-scale and Multi-path Cascaded Convolutional Network for Semantic Segmentation of Colorectal Polyps Unresolved cited work
Reference 54
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Observation d659dfec-627b-49c3-b63d-db1ee3591615 · outbound
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Source-reported events for the cited work
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Multi-scale and Multi-path Cascaded Convolutional Network for Semantic Segmentation of Colorectal Polyps FCB-SwinV2 Transformer for Polyp Segmentation
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Source-reported events for the cited work
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Multi-scale and Multi-path Cascaded Convolutional Network for Semantic Segmentation of Colorectal Polyps Cooperation Learning Enhanced Colonic Polyp Segmentation Based on Transformer-CNN Fusion
Reference 58
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Observation 9f02b766-a4cc-47ed-a4ca-218c576a669d · outbound
Reference 59
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Multi-scale and Multi-path Cascaded Convolutional Network for Semantic Segmentation of Colorectal Polyps Despite UNet's implementation of skip connections to enhance feature integration, it often misinterprets surrounding tissues
Reference 60
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Observation 85d1186a-9b50-43ca-ac00-afa56ef42a47 · outbound
Multi-scale and Multi-path Cascaded Convolutional Network for Semantic Segmentation of Colorectal Polyps Unresolved cited work
Reference 62
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Observation fb752781-9a6f-452a-873f-786d3c160e2c · outbound
Multi-scale and Multi-path Cascaded Convolutional Network for Semantic Segmentation of Colorectal Polyps Bernal, F.J
Reference 63
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Observation facd675b-3163-40c9-b4a5-8aa0d6acba56 · outbound
Multi-scale and Multi-path Cascaded Convolutional Network for Semantic Segmentation of Colorectal Polyps Gurudu, and J
Reference 64
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Observation cf74c2a6-dc71-43cb-93f6-9b465f604f6b · outbound
Reference 65
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Observation 42daa6b1-2ff1-481c-bd0c-513c135f8118 · outbound
Multi-scale and Multi-path Cascaded Convolutional Network for Semantic Segmentation of Colorectal Polyps Smedsrud, M.A
Reference 66
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Observation d7bd1176-48a3-4c03-8896-5511add7885d · outbound
Reference 67
Source-reported events for the cited work
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Observation 8f8f1c87-b2b1-4bef-ae89-55ab15d382ea · outbound
Multi-scale and Multi-path Cascaded Convolutional Network for Semantic Segmentation of Colorectal Polyps Unresolved cited work
Reference 68
Source-reported events for the cited work
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Observation 4e3b6350-87d8-40d4-9577-2920dc6873a9 · outbound
Multi-scale and Multi-path Cascaded Convolutional Network for Semantic Segmentation of Colorectal Polyps Fischer, and T
Reference 69
Source-reported events for the cited work
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Observation 4f19edee-73c1-446c-97bc-77ab6a922c7a · outbound
Multi-scale and Multi-path Cascaded Convolutional Network for Semantic Segmentation of Colorectal Polyps Unresolved cited work
Reference 70
Source-reported events for the cited work
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No inbound Pith citation observations are available.