Presentation | 2023-07-03 [Special Talk] Transition of Medical Imaging Koichi Ito, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Over the past decade, research in medical image processing has dramatically changed. In particular, feature extraction using convolutional neural networks and image segmentation using U-Net, which were developed in the explosion of deep learning, have had a significant impact on medical image processing research, providing the opportunity to solve many difficult problems. In this talk, I introduce the research of medical image processing that has been conducted by our group before and after deep learning. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | medical image processing / deep learning / CT / MRI / ultrasouind / registration / age estimation / pose estimation |
Paper # | MI2023-10 |
Date of Issue | 2023-06-26 (MI) |
Conference Information | |
Committee | MI |
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Conference Date | 2023/7/3(1days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | Tohoku Univ. Sakura Hall |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | Medical Imaging, etc. |
Chair | Ryo Haraguchi(Univ. of Hyogo) |
Vice Chair | Hideaki Haneishi(Chiba Univ.) / Takayuki Kitasaka(Aichi Inst. of Tech.) |
Secretary | Hideaki Haneishi(Yamaguchi Univ.) / Takayuki Kitasaka(NAIST) |
Assistant | Takeshi Hara(Gifu Univ.) / Kenichi Morooka(Okayama Univ.) |
Paper Information | |
Registration To | Technical Committee on Medical Imaging |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | [Special Talk] Transition of Medical Imaging |
Sub Title (in English) | |
Keyword(1) | medical image processing |
Keyword(2) | deep learning |
Keyword(3) | CT |
Keyword(4) | MRI |
Keyword(5) | ultrasouind |
Keyword(6) | registration |
Keyword(7) | age estimation |
Keyword(8) | pose estimation |
1st Author's Name | Koichi Ito |
1st Author's Affiliation | Tohoku University(Tohoku Univ.) |
Date | 2023-07-03 |
Paper # | MI2023-10 |
Volume (vol) | vol.123 |
Number (no) | MI-96 |
Page | pp.pp.11-11(MI), |
#Pages | 1 |
Date of Issue | 2023-06-26 (MI) |