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Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2012-07-20
10:30
Yamagata Yamagata Univ. Automated segmentation of hip and thigh muscles from CT data based on hierarchical multi-atlas label fusion -- An experimental study on the relationship between training set size and segmentation accuracy --
Mika Takaya, Futoshi Yokota (Kobe Univ.), Toshiyuki Okada, Masaki Takao, Nobuhiko Sugano (Osaka Univ.), Yukio Tada (Kobe Univ.), Noriyuki Tomiyama, Yoshinobu Sato (Osaka Univ.) MI2012-31
Segmentation of the musculo-skeletal from 3D images is needed for patient-specific musculo-skeletal simulation. We propo... [more] MI2012-31
pp.53-58
MI 2012-01-19
11:20
Okinawa   Automated Musculoskeletal Segmentation from 3D CT Data of the Hip -- Segmentation of 18 individual muscles and muscle groups using a small number of training datasets based on hierarchical spatial normalization --
Mika Takaya (Osaka Univ.), Futoshi Yokota (Kobe Univ.), Toshiyuki Okada, Masaki Takao, Nobuhiko Sugano (Osaka Univ.), Yukio Tada (Kobe Univ.), Noriyuki Tomiyama, Yoshinobu Sato (Osaka Univ.) MI2011-95
The objective of this study is an automatic segmentation of individual muscles and muscle groups of hip from 3D CT image... [more] MI2011-95
pp.97-102
MI 2011-11-29
16:40
Hyogo Univ. Hyogo (Portisland C.) Automated Segmentation of Musculoskeletal from 3D CT Data of Hip -- Hybrid Method of Multi-Atlas and Statistical Prediction --
Futoshi Yokota (Kobe Univ.), Toshiyuki Okada, Mika Takaya, Masaki Takao, Nobuhiko Sugano (Osaka Univ.), Yukio Tada (Kobe Univ.), Noriyuki Tomiyama, Yoshinobu Sato (Osaka Univ.) MI2011-75
Segmentation of the musculo-skeletal from 3D images is needed for patient-specific musculo-skeletal simulation. Our aim ... [more] MI2011-75
pp.71-76
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