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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 #
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] 2022-02-21
15:35
Online online Liver Tumor Segmentation by Using a Massive-Training Artificial Neural Network (MTANN) and its Analysis in Liver CT.
Yuqiao Yang, Muneyuki Sato, Ze Jin, Kenji Suzuki (Tokyo Tech)
Based on a 3D massive-training artificial neural network (MTANN) combined with a Hessian-based ellipse enhancer, a small... [more]
ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] 2019-02-19
16:30
Hokkaido Hokkaido Univ. A Fundamental Study on Laparoscopic Image Region Segmentation Based on Texture Analysis by Regions
Norifumi Kawabata (Nagoya Univ.), Toshiya Nakaguchi (Chiba Univ.)
Most of image region segmentation studies can be divided to both subjective method by assessors and objective method by ... [more] MMS2019-15 HI2019-15 ME2019-37 AIT2019-15
pp.125-130
ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] 2019-02-20
13:00
Hokkaido Hokkaido Univ. A note on automatic malignant tumor candidate detection based on a 3D deep residual network with FDG-PET/CT images
Zongyao Li, Ren Togo, Takahiro Ogawa, Kenji Hirata, Osamu Manabe, Tohru Shiga, Miki Haseyama (Hokkaido Univ.)
In this paper, we propose a malignant tumor candidate detection method with FDG-PET/CT images. We design our network bas... [more] MMS2019-36 HI2019-36 ME2019-58 AIT2019-36
pp.311-314
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