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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 2024-03-03
09:05		 Okinawa OKINAWAKEN SEINENKAIKAN
(Primary: On-site, Secondary: Online)		 [Short Paper] Generation of Counterfactual Pathology Images of Malignant Lymphoma using Diffusion Models
Ryoichi Koga, Tatsuya Yokota (NIT), Kouichi Ohshima, Hiroaki Miyoshi, Miharu Nagaishi (Kurume Univ.), Noriaki Hashimoto (RIKEN), Ichiro Takeuchi (Nagoya Univ.), Hidekata Hontani (NIT) MI2023-30		 Malignant lymphoma has more than 70 subtypes. In the pathological diagnosis, a pathological image is observed to identif... [more] MI2023-30
pp.1-2
MI 2023-09-08
10:05		 Osaka
(Primary: On-site, Secondary: Online)		 [Short Paper] Construction of Cell Nucleus Classifier using Complementary-Label Learning towards the Quantification of Grading for Follicular Lymphoma
Ryoichi Koga, Mauricio Kugler, Tatsuya Yokota (NIT), Kouichi Ohshima, Hiroaki Miyoshi, Miharu Nagaishi (Kurume Univ.), Noriaki Hashimoto (RIKEN), Ichiro Takeuchi (Nagoya Univ.), Hidekata Hontani (NIT) MI2023-14		 In this paper, we report the cell type classification from a pathological image toward the subtype classification of mal... [more] MI2023-14
pp.1-2
MI 2023-03-06
17:56		 Okinawa OKINAWA SEINENKAIKAN
(Primary: On-site, Secondary: Online)		 [Short Paper] Generation of Counterfactual Images towards the Construction of Quantitatively Criteria in Malignant Lymphoma
Ryoichi Koga, Mauricio Kugler, Tatsuya Yokota (NIT), Kouichi Ohshima, Hiroaki Miyoshi, Miharu Nagaishi (KU), Noriaki Hashimoto, Ichiro Takeuchi (NU), Hidekata Hontani (NIT) MI2022-100		 In pathological diagnosis of malignant lymphoma, a H&E-staind pathological image is observed to identify the subtype. Ho... [more] MI2022-100
pp.123-124
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
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