Diagnostic efficacy of ultrasound combined with magnetic resonance imaging in diagnosis of deep pelvic endometriosis under deep learning

Minmin Yang, Min Liu, Yan Chen, Suhui He, Yan Lin
In: The Journal of Supercomputing · 2021 · vol. 77(7) , pp. 7598–7619 · doi:10.1007/s11227-020-03535-0 · W3119553246
article OA: closed CC0 ⤵ 8 in-corpus citations
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⚙ AI-generated summary by claude@2026-06+body, 2026-06-08 ⓘ

Deep learning models, VGG-GAP for ultrasound and IC3D for MRI, achieved high classification accuracies (96.5% and 99.2%) and diagnostic values (90.68% and 92.37%) for deep pelvic endometriosis, with MRI showing higher diagnostic value.

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endometriosis

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last seen: 2026-06-10T17:14:06.276822+00:00
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