Deep Learning for Classification Criteria of Adenomyosis: Evaluating Performance Across Based on MRI

Ying Tang, Huixin Tian, HuaDdong Tian, Xiaomei Chen, Xiwen Luo, Wen Tang, Qiuling Shi, Tianqi Shan
2025 · doi:10.2139/ssrn.5235028 · W4410155069
preprint OA: green CC0
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⚙ AI-generated summary by gemini-2.5-flash-lite, 2026-06-07 ⓘ

This study developed and evaluated deep learning models for classifying adenomyosis based on MRI images, assessing their performance.

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Condition tags

adenomyosis

Citation neighborhood (2-hop)

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. Outer rings show 2-hop neighbours — papers reached through the immediate citers/citees. [ collapse to 1-hop ]

References (31)

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