Automatic segmentation of deep endometriosis in the rectosigmoid using deep learning

Weslley Kelson Ribeiro Figueredo, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, João Otávio Bandeira Diniz, Alice Brandão, Marco Aurélio Pinho Oliveira
In: Image and Vision Computing · 2024 · vol. 151 , pp. 105261 · doi:10.1016/j.imavis.2024.105261 · W4402295119
article OA: closed CC0 ⤵ 3 in-corpus citations
Limited metadata. Only one source feed has indexed this record so far — no abstract, full text, or open-access copy is available through Endo Lab. The publisher's page (linked below) is the canonical location for the actual content. If you have institutional access, use "Find at my library".
View at publisher → View on OpenAlex

My notes (saved in your browser only)

Condition tags

endometriosis

Citation neighborhood

Papers in the corpus that this work cites (lower rings, blue) and that cite this one (upper rings, green). Dot size scales with the paper's in-corpus citation count — bigger dot = more influential within the endo/adeno field. Click a dot to open that paper. [ expand to 2 hops ] — adds papers reached through this work's immediate citers/citees. Heavier; up to 60 extra dots.

References (58)

Cited by (3)

Source provenance

openalex
last seen: 2026-06-10T17:14:06.276822+00:00
unpaywall
last seen: 2026-06-02T02:00:03.124865+00:00
License: CC0 · commercial use OK