IEICE Technical Report

Online edition: ISSN 2432-6380

Volume 121, Number 21

Medical Imaging

Workshop Date : 2021-05-17 / Issue Date : 2021-05-10

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Table of contents

MI2021-1
[Short Paper] Regression of Induced Electric Field for TMS by using Neural Network and Governing Equation
Toyohiro Maki (NITech), Yoshikazu Ugawa, Takenobu Murakami (Fukushima Medical Univ.), Tatsuya Yokota, Akimasa Hirata, Hidekata Hontani (NITech)
pp. 1 - 2

MI2021-2
A Study of Automatic Kidney Tumor Segmentation with Deep Learning
Wuyang Zhao, Chen Shen, Masahiro Oda, Yuichiro Hayashi (Nagoya Univ), Naoki Higashida, Masahiro Hashimoto, Masahiro Jinzaki (Keio Univ), Kensaku Mori (Nagoya Univ)
pp. 3 - 8

MI2021-3
[Short Paper] Watershed-based Alveoli Segmentation from Micro-focus X-ray CT Volumes of Dissected Human Lungs
Takeru Shiina, Hirohisa Oda, Tong Zheng, Shota Nakamura, Masahiro Oda, Kensaku Mori (Nagoya Univ.)
pp. 9 - 10

MI2021-4
[Special Talk] 40 years of experience in image recognition research
Hiroshi Murase (Nagoya Univ.)
p. 11

MI2021-5
[Short Paper]
Tatsuya Ogasa, Mikio Matsuhiro, Hidenobu Suzuki, Yoshiki Kawata, Noboru Niki (Tokushima Univ)
pp. 12 - 13

MI2021-6
MR super-resolution based on signal-image domain learning using phase scrambling Fourier transform imaging
Kazuki Yamato, Hiromichi Wakatsuki, Satoshi Ito (Utsunomiya Univ.)
pp. 14 - 19

MI2021-7
[Short Paper] Fundamental study of automatic segmentation of skeletal muscle regions on whole body CT images based on a 3D DeepCNN
Kota Nozaki, Xiangong Zhou (Gifu Univ.), Naoki Kamiya (Aichi Prefectual Univ.), Takeshi Hara, Hiroshi Fujita (Gifu Univ.)
pp. 20 - 22

MI2021-8
A fusion algorithm of conventional feature and deep learning feature for lung CT image feature extraction
Hanae Yoshida, Yun Li, Mayumi Suzuki, Masahiro Ogino (Hitachi)
pp. 23 - 28

Note: Each article is a technical report without peer review, and its polished version will be published elsewhere.


The Institute of Electronics, Information and Communication Engineers (IEICE), Japan