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Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, MI, IPSJ-CVIM [detail] 2019-09-04
16:20
Okayama   Domain-adversarial multiple instance learning for subtype classification of malignant lymphoma
Daisuke Fukushima, Ryoichi Koga, Noriaki Hashimoto, Kaho Ko (Nagoya Inst. of Tech), Masato Nakaguro, Kei Kohno, Shigeo Nakamura (Nagoya Univ. Hospital), Hidekata Hontani (Nagoya Inst of Tech), Ichiro Takeuchi (Nagoya Inst. of Tech/RIKEN/NIMS) PRMU2019-15 MI2019-34
We classify subtypes of malignant lymphoma using convolutional neural network with digital pathological images as input ... [more] PRMU2019-15 MI2019-34
pp.19-24
MI 2013-01-25
13:10
Okinawa Bunka Tenbusu Kan Rapid-prototyping and 3D visualization using the digital image of preparation
Michiaki Iwata, Ryo Haraguchi, Tomonori Tsukiya, Eisuke Tatsumi, Hatsue Ishibashi-Ueda (NCVC) MI2012-119
National Cerebral and Cardiovascular Center (NCVC) have kept most of autopsy specimens after formalin fixation since fou... [more] MI2012-119
pp.299-300
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