Computational approach based on deep learning for the classification and segmentation of deep rectosigmoid endometriosis using magnetic resonance images
dissertation
OA: green
CC0
Abstract
Submitted by Jonathan Sousa de Almeida ([email protected]) on 2025-02-19T17:48:26Z No. of bitstreams: 1 WeslleyKelsonRibeiroFigueredo.pdf: 15219746 bytes, checksum: d4fdfc49ccea8d911146807a2c5a9450 (MD5)
My notes (saved in your browser only)
Condition tags
Citation neighborhood (no data yet)
We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2025) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.
Source provenance
- openalex
- last seen: 2026-06-10T17:14:06.276822+00:00
License: CC0
· commercial use OK