Screening detection of abnormalities in knee joint MRI using deep machine learning
Tsutomu Inaoka1, Akihiko Wada2, Rumiko Ishikawa1, Tomoya Nakatsuka1, Hisanori Tomobe1, Masaru Sonoda3, Akinori Yamamoto1, Ryousuke Sakai1, and Hitoshi Terada1
1Radiology, Toho University Sakura Medical Center, Sakura, Japan, 2Radiology, Juntendo University, Tokyo, Japan, 3Radiology, Seirei Sakura Citizen Hospital, Sakura, Japan
The DML model including fat-suppressed contrast generation, normal image restoration, and classification and determination models may make it possible to detect all abnormalities in knee joint MRI once.
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