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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2022-01-27
13:54		 Online Online [Short Paper] Case-based Similar Image Retrieval for Pathological Images of Malignant Lymphoma Using Deep Metric Learning
Noriaki Hashimoto (RIKEN), Yusuke Takagi, Hiroki Masuda (NITech), Hiroaki Miyoshi, Kei Kohno, Miharu Nagaishi, Kensaku Sato, Koichi Ohshima (Kurume Univ.), Hidekata Hontani (NITech), Ichiro Takeuchi (NITech/RIKEN) MI2021-78		 We propose a novel method of case-based similar image retrieval for histopathological images of malignant lymphoma. We e... [more] MI2021-78
pp.144-145
MI 2020-01-30
10:00		 Okinawa OKINAWAKEN SEINENKAIKAN 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
MI 2020-01-30
13:25		 Okinawa OKINAWAKEN SEINENKAIKAN Extracting and Visualization of Essential Features for Staining Translation of Pathological Images
Ryoichi Koga, Noriaki Hashimoto, Tatsuya Yokota (NIT), Masato Nakaguro, Kei Kohno, Shigeo Nakamura (NUI), Ichiro Takeuchi, Hidekata Hontani (NIT) MI2019-116		 In this manuscript, we propose a method for stain translation of pathology images. When one constructs a computer aided ... [more] MI2019-116
pp.215-218
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 2019-01-22
15:05		 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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