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Committee Date Time Place Paper Title / Authors Abstract Paper #
SIP, EA, SP, MI
(Joint) [detail]		 2018-03-20
10:15		 Okinawa   Automated Multi-Organ Segmentation from CT Volumes Based on 3D U-Net and Fully Connected CRF using Geodesic Distance Kernel
Ying Yang, Holger Roth, Masahiro Oda (Naogoya Univ.), Takayuki Kitasaka (Aichi Inst. of Tech.), Kazunari Misawa (Aichi Cancer Center), Kensaku Mori (Naogoya Univ.) MI2017-88		  [more] MI2017-88
pp.75-80
SIP, EA, SP, MI
(Joint) [detail]		 2018-03-20
10:30		 Okinawa   A preliminary study on organ region localization using regression CNN
Natsuki Shimizu, Masahiro Oda, Holger R. Roth, Yuichiro Hayashi (Nagoya Univ.), Kazunari Misawa (Aichi Cancer Center Hospital), Michitaka Fujiwara, Kensaku Mori (Nagoya Univ.) MI2017-89		 Recently, three dimensional CT volumes are widely used in treatment and diagnosis. Development of a computer-aided diagn... [more] MI2017-89
pp.81-86
PRMU, BioX 2017-03-21
10:00		 Aichi   [Short Paper] Bile duct segmentation from 3D CT image based on machine learning and probability map-assisted region growing
Pengfei Chen, Hiroshi Tanaka, Masahiro Oda, Holger Roth, Tsuyoshi Igami, Masato Nagino, Kensaku Mori (NU) BioX2016-55 PRMU2016-218		 In this paper, we present our study on the bile duct segmentation from 3D CT volumes. In hepatobiliary surgery, it is re... [more] BioX2016-55 PRMU2016-218
pp.135-136
MI 2017-01-18
11:22		 Okinawa Tenbusu Naha Automated abdominal lymph node detection from 3D CT volumes using Structured Random Forest
Yutaka Hoshiyama, Holger R. Roth, Masahiro Oda (Nagoya Univ.), Yoshihiko Nakamura (NIT), Kazunari Misawa (Aichi Cancer Center Hospital), Michitaka Fujiwara, Kensaku Mori (Nagoya Univ.) MI2016-76		 In this paper, we report a study on automated lymph node detection method from 3D abdominal CT volumes using the Structu... [more] MI2016-76
pp.23-28
 Results 1 - 4 of 4  /   
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