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Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2020-01-30
10:00		 Okinawa OKINAWAKEN SEINENKAIKAN (Okinawa) Construction of Basis Vectors for Representation of Immunostaining Combination by Non-negative Matrix Decomposition
Kaho Ko, Noriaki Hashimoto, Tatsuya Yokota (NITech), Masato Nakaguro, Kei Kohno, Shigeo Nakamura (NUH), Ichiro Takeuchi, Hidekata Hontani (NITech) MI2019-99		 In this paper, we propose a method that constructs a set of basis vectors for representing combination of immunostaining... [more] MI2019-99
pp.151-154
PRMU, MI, IPSJ-CVIM [detail] 2019-09-04
16:20		 Okayama (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 2019-01-22
15:05		 Okinawa (Okinawa) [Short Paper] Study on subtype classification of malignant lymphoma using immunostaining information
Noriaki Hashimoto, Kaho Ko, Daisuke Fukushima, Tatsuya Yokota (Nagoya Inst. of Tech.), Masato Nakaguro, Kei Kohno, Shigeo Nakamura (Nagoya Univ. Hospital), Ichiro Takeuchi (Nagoya Inst. of Tech./RIKEN/NIMS), Hidekata Hontani (Nagoya Inst. of Tech.) MI2018-83		  [more] MI2018-83
pp.95-96
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