Problems of magnetic resonance diagnosis for gastric-type mucin-positive cervical lesions of the uterus and its solutions using artificial intelligence.

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作者： Ayumi,Ohya ^[1] ; Tsutomu,Miyamoto ^[2] ; Fumihito,Ichinohe ^[1] ; Hisanori,Kobara ^[2] ; Yasunari,Fujinaga ^[1] ; Tanri,Shiozawa ^[2]

作者单位： Department of Radiology, Shinshu University School of Medicine, Matsumoto, Japan. ^[1] Department of Obstetrics and Gynecology, Shinshu University School of Medicine, Matsumoto, Japan. ^[2]

主题词人类(Humans);女(雌)性(Female);磁共振成像(Magnetic Resonance Imaging);成年人(Adult);中年人(Middle Aged);宫颈肿瘤(Uterine Cervical Neoplasms);人工智能(Artificial Intelligence);胃黏蛋白类(Gastric Mucins);子宫颈(Cervix Uteri);老年人(Aged)

DOI 10.1371/journal.pone.0315862

PMID 39775578

发布时间 2025-01-08

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PloS one

2024年19卷12期

e0315862页

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Problems of magnetic resonance diagnosis for gastric-type mucin-positive cervical lesions of the uterus and its solutions using artificial intelligence.

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Problems of magnetic resonance diagnosis for gastric-type mucin-positive cervical lesions of the uterus and its solutions using artificial intelligence.

PloS one

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PloS one

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