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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 #
PRMU 2017-12-17
17:00		 Kanagawa   A Background Subtraction Method with an Image Set as a Background Model
Yuya Kasahara, Toru Abe, Takuo Suganuma (Tohoku Univ.) PRMU2017-111		 Background subtraction method is one of the approaches for extractingthe regions of moving objects such as people and ve... [more] PRMU2017-111
pp.65-70
MI 2015-03-02
13:40		 Okinawa Hotel Miyahira A method to extract fibrosis area from HE-stained liver specimens using the superpixel
Masahiro Ishikawa (Saitama Med Univ.), Ryota Kudo, Hiroshi Kanazawa, Masahiro Yamaguchi (Tokyo Tech), Hideki Komagata, Naoki Kobayashi (Saitama Med Univ.), Yoshiko Yamashita, Tomoharu Kiyuna (NEC), Tokiya Abe, Akinori Hashiguchi, Michiie Sakamoto (Keio Univ) MI2014-75		 In the diagnosis of hepatocellular carcinoma(HCC) by HE-stained liver pathological specimens, the structure of hepatic c... [more] MI2014-75
pp.105-108
IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] 2015-02-23
16:45		 Hokkaido Hokkaido Univ. A note on Accurate Estimation of a Light Source and a Spectral Reflectance by Introduction of Superpixel Calculation Method
Yuta Igarashi, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) 		This paper presents a method for estimating a spectral reflectance including near-infrared components. In the proposed m... [more]
MI 2014-06-24
10:05		 Fukuoka Lecture Hall, Building B of Basic Sciences, Kyushu University Improved Interactive Medical Image Segmentation using Graph Cut and Superpixels
Titinunt Kitrungrotsakul, Chunhua Dong, Xian-Hua Han, Yen-Wei Chen (Ritsumeikan Univ.) MI2014-25		 Interactive image segmentation is a useful method for selecting object of interest in image. The variations of intensity... [more] MI2014-25
pp.17-20
MI 2013-11-07
14:50		 Hiroshima   Liver Segmentation from 3D CT Images using Superpixel
Keisuke Hayata, Jun Ohmiya, Satoshi Kondo (Panasonic Healthcare), Tsuyoshi Kouyama, Tomoaki Takemura (Panasonic Medical Solutions) MI2013-52		 This paper describes an algorithm of liver region segmentation from CT images using the region-growing algorithm and SLI... [more] MI2013-52
pp.33-38
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