Presentation 2022-07-09
Disease segmentation of 3D diagnostic images
Tetsuya Asakawa, Riku Tsuneda, Yuki Sugimoto, Kazuki Shimizu, Takuyuki Komoda, Masaki Aono,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Disease detection from medical images reinforce the judgment of doctors and medical engineers, and is expected to play an active role as a second opinion. Therefore, we detected the disease using the object detection model (Yolo V3 tiny, Yolo V3, Yolo V5) using the CLEF2022 Medical Tuberculosis Detection dataset. However, existing trained models do not have a label to detect the disease. Therefore, we created a labeling learning model and conducted experiments. As a result, high accuracy was achieved with mAP of 95% in Yolo v5.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Computed Tomography / Tuberculosis / Deep Learning / Disease Detection
Paper # MI2022-47
Date of Issue 2022-07-01 (MI)

Conference Information
Committee MI
Conference Date 2022/7/8(2days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English) Medical imaging, recoginition, etc.
Chair Hidekata Hontani(Nagoya Inst. of Tech.)
Vice Chair Hideaki Haneishi(Chiba Univ.) / Takayuki Kitasaka(Aichi Inst. of Tech.)
Secretary Hideaki Haneishi(Yamaguchi Univ.) / Takayuki Kitasaka(Univ. of Hyogo)
Assistant Takeshi Hara(Gifu Univ.) / Yoshito Otake(NAIST)

Paper Information
Registration To Technical Committee on Medical Imaging
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Disease segmentation of 3D diagnostic images
Sub Title (in English) Disease detection using CT data
Keyword(1) Computed Tomography
Keyword(2) Tuberculosis
Keyword(3) Deep Learning
Keyword(4) Disease Detection
1st Author's Name Tetsuya Asakawa
1st Author's Affiliation Toyohashi University of Technology(TUT)
2nd Author's Name Riku Tsuneda
2nd Author's Affiliation Toyohashi University of Technology(TUT)
3rd Author's Name Yuki Sugimoto
3rd Author's Affiliation Toyohashi University of Technology(TUT)
4th Author's Name Kazuki Shimizu
4th Author's Affiliation Toyohashi Heart Center(THC)
5th Author's Name Takuyuki Komoda
5th Author's Affiliation Toyohashi Heart Center(THC)
6th Author's Name Masaki Aono
6th Author's Affiliation Toyohashi University of Technology(TUT)
Date 2022-07-09
Paper # MI2022-47
Volume (vol) vol.122
Number (no) MI-98
Page pp.pp.56-60(MI),
#Pages 5
Date of Issue 2022-07-01 (MI)