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Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU 2021-12-17
10:30		 Online Online Data Augmentation to Robust Deep Learning-Based Lesion Classification for CT Image with Different Imaging Conditions
Nobuhiro Miyazaki, Hiroaki Takebe, Takayuki Baba (FUJITSU), Hiroaki Terada, Toru Higaki, Kazuo Awai (Hiroshima Univ.), Masahiko Shimada (Fujitsu Japan) PRMU2021-48		 In this paper, we propose a data augmentation to robust DL (deep learning)-based lesion classification for CT image with... [more] PRMU2021-48
pp.130-135
PRMU 2019-10-19
10:45		 Tokyo   Localization of Diffuse Lung Deseases' Lesions and Quantification of Their Volumes Using Deep Learning
Hiroaki Takebe, Yasutaka Moriwaki, Nobuhiro Miyazaki, Takayuki Baba (FUJITSU LAB.), Hiroaki Terada, Toru Higaki, Kazuo Awai (Hiroshima Univ.), Hirotaka Kobayashi, Machiko Nakagawa, Masahiko Shimada, Kenji Kitayama (FUJITSU) PRMU2019-44		 Changes in the amount of lesion over time are important information for diagnostic imaging of diffuse lung disease in wh... [more] PRMU2019-44
pp.67-72
AI 2011-02-28
15:35		 Osaka Kwansei Gakuin Univ. Osaka Umeda Campus QoS Evaluation Method for Selecting Machine Translators
Masahiko Shimada, Toru Ishida (Kyoto Univ.) AI2010-53		 Evaluation of translation quality is necessary to select a best machine translator for source sentences. Several methods... [more] AI2010-53
pp.57-62
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