Unpaired multi-modal training and single-modal testing for detecting signs of endometriosis

Yuan Zhang, Hu Wang, David Butler, Brandon Smart, Yutong Xie, Minh-Son To, Minh‐Son To, Steven Knox, George Condous, Mathew Leonardi, Jodie C Avery, Jodie Avery, M Louise Hull, Gustavo Carneiro
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society · 2025 · vol. 124 , pp. 102575 · doi:10.1016/j.compmedimag.2025.102575 · PMID:40472422 · W4410856007
article OA: closed CC0 ⤵ 1 in-corpus citation
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⚙ AI-generated summary by claude@2026-06, 2026-06-07 ⓘ

This paper developed a method for training a deep learning model on combined ultrasound and MRI data, and then using that trained model to detect endometriosis using only one of the modalities.

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Condition tags

mesh:D004715endometriosis

MeSH descriptors

Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Image Interpretation, Computer-Assisted Image Interpretation, Computer-Assisted Image Interpretation, Computer-Assisted Image Interpretation, Computer-Assisted Image Interpretation, Computer-Assisted Image Interpretation, Computer-Assisted Image Interpretation, Computer-Assisted Image Interpretation, Computer-Assisted Image Interpretation, Computer-Assisted Magnetic Resonance Imaging Magnetic Resonance Imaging

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References (67)

Cited by (1)

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europepmc
last seen: 2026-06-04T01:30:01.192114+00:00
openalex
last seen: 2026-06-10T17:14:06.276822+00:00
pubmed
last seen: 2026-05-16T00:31:16.432402+00:00
License: CC0 · commercial use OK