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Paper Abstract and Keywords
Presentation 2019-02-20 13:00
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.)
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we propose a malignant tumor candidate detection method with FDG-PET/CT images. We design our network based on the residual architecture. The network can learn from the metabolic information provided by PET images and the anatomical information provided by CT images simultaneously. Our method achieved a sensitivity of 0.993 at a false positive rate of 20. The performance is acceptable for the preliminary candidate detection.
Keyword (in Japanese) (See Japanese page) 
(in English) Medical image analysis / Tumor detection / PET/CT / Deep learning / / / /  
Reference Info. ITE Tech. Rep., vol. 43, no. 5, ME2019-58, pp. 311-314, Feb. 2019.
Paper # ME2019-58 
Date of Issue 2019-02-12 (MMS, HI, ME, AIT) 
ISSN Print edition: ISSN 1342-6893  Online edition: ISSN 2424-1970
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Conference Information
Committee ME IEICE-IE IEICE-ITS MMS HI AIT  
Conference Date 2019-02-19 - 2019-02-20 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Image Processing, etc. 
Paper Information
Registration To ME 
Conference Code 2019-02-ME-IE-ITS-MMS-HI-AIT 
Language English (Japanese title is available) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A note on automatic malignant tumor candidate detection based on a 3D deep residual network with FDG-PET/CT images 
Sub Title (in English)  
Keyword(1) Medical image analysis  
Keyword(2) Tumor detection  
Keyword(3) PET/CT  
Keyword(4) Deep learning  
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1st Author's Name Zongyao Li  
1st Author's Affiliation Hokkaido University (Hokkaido Univ.)
2nd Author's Name Ren Togo  
2nd Author's Affiliation Hokkaido University (Hokkaido Univ.)
3rd Author's Name Takahiro Ogawa  
3rd Author's Affiliation Hokkaido University (Hokkaido Univ.)
4th Author's Name Kenji Hirata  
4th Author's Affiliation Hokkaido University (Hokkaido Univ.)
5th Author's Name Osamu Manabe  
5th Author's Affiliation Hokkaido University (Hokkaido Univ.)
6th Author's Name Tohru Shiga  
6th Author's Affiliation Hokkaido University (Hokkaido Univ.)
7th Author's Name Miki Haseyama  
7th Author's Affiliation Hokkaido University (Hokkaido Univ.)
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Speaker
Date Time 2019-02-20 13:00:00 
Presentation Time 15 
Registration for ME 
Paper # ITE-MMS2019-36,ITE-HI2019-36,ITE-ME2019-58,ITE-AIT2019-36 
Volume (vol) ITE-43 
Number (no) no.5 
Page pp.311-314 
#Pages ITE-4 
Date of Issue ITE-MMS-2019-02-12,ITE-HI-2019-02-12,ITE-ME-2019-02-12,ITE-AIT-2019-02-12 


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