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

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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Bibliographic Details
Main Authors:	Ayumi Ohya, Tsutomu Miyamoto, Fumihito Ichinohe, Hisanori Kobara, Yasunari Fujinaga, Tanri Shiozawa
Format:	Article
Language:	English
Published:	Public Library of Science (PLoS) 2024-01-01
Series:	PLoS ONE
Online Access:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11684648/?tool=EBI
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