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J.Jpn. Surg. Soc.. 120(3): 359-361, 2019


Proceedings of Lifelong Education Seminar

CURRENT STATUS AND POSSIBILITY OF PATHOLOGICAL DIAGNOSIS USING ARTIFICIAL INTELLIGENCE

1) Department of Molecular Pathology, Tokyo Medical University, Tokyo, Japan
2) Department of AI Applied Quantitative Clinical Science, Tokyo Medical University, Tokyo, Japan

Masahiko Kuroda1), Akira Saito1)2)


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