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Search Results: Conference Papers |
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] |
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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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