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Paper Abstract and Keywords
Presentation 2021-02-18 13:50
Detecting axillary lymph node metastasis of breast cancer with FDG-PET/CT images based on attention mechanism
Zongyao Li, Ren Togo, Kenji Hirata (Hokkaido Univ.), Kazuhiro Kitajima (Hyogo Med.), Junki Takenaka (Hokkaido Univ.), Yasuo Miyoshi (Hyogo Med.), Kohsuke Kudo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) Determination of axillary nodal status is significant to treatment of breast cancer. Typically, the diagnosis of axillary lymph node (LN) metastasis is performed by using invasive methods which impose considerable burden on patients. On the other hand, noninvasive FDG-PET/CT can be also used for diagnosing axillary LN metastasis but has inferior performance. In this paper, we focus on detecting axillary LN metastasis of breast cancer with FDG-PET/CT images by using convolutional neural networks (CNNs). Specifically, we equip a 3D residual CNN with an attention mechanism. The attention mechanism can make the network focus on the most meaningful regions related to the diagnosis. As a result, the diagnostic performance is considerably improved by the attention mechanism compared to a simple CNN.
Keyword (in Japanese) (See Japanese page) 
(in English) breast cancer / axillary lymph node / FDG-PET/CT / convolutional neural network / / / /  
Reference Info. ITE Tech. Rep., vol. 45, no. 4, ME2021-7, pp. 33-36, Feb. 2021.
Paper # ME2021-7 
Date of Issue 2021-02-11 (MMS, ME, AIT) 
ISSN Print edition: ISSN 1342-6893  Online edition: ISSN 2424-1970
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Conference Information
Committee IEICE-IE IEICE-ITS MMS ME AIT  
Conference Date 2021-02-18 - 2021-02-19 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Image Processing, etc. 
Paper Information
Registration To ME 
Conference Code 2021-02-IE-ITS-MMS-ME-AIT 
Language English (Japanese title is available) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Detecting axillary lymph node metastasis of breast cancer with FDG-PET/CT images based on attention mechanism 
Sub Title (in English)  
Keyword(1) breast cancer  
Keyword(2) axillary lymph node  
Keyword(3) FDG-PET/CT  
Keyword(4) convolutional neural network  
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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 Kenji Hirata  
3rd Author's Affiliation Hokkaido University (Hokkaido Univ.)
4th Author's Name Kazuhiro Kitajima  
4th Author's Affiliation Hyogo College of Medicine (Hyogo Med.)
5th Author's Name Junki Takenaka  
5th Author's Affiliation Hokkaido University (Hokkaido Univ.)
6th Author's Name Yasuo Miyoshi  
6th Author's Affiliation Hyogo College of Medicine (Hyogo Med.)
7th Author's Name Kohsuke Kudo  
7th Author's Affiliation Hokkaido University (Hokkaido Univ.)
8th Author's Name Takahiro Ogawa  
8th Author's Affiliation Hokkaido University (Hokkaido Univ.)
9th Author's Name Miki Haseyama  
9th Author's Affiliation Hokkaido University (Hokkaido Univ.)
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Speaker
Date Time 2021-02-18 13:50:00 
Presentation Time 25 
Registration for ME 
Paper # ITE-MMS2021-7,ITE-ME2021-7,ITE-AIT2021-7 
Volume (vol) ITE-45 
Number (no) no.4 
Page pp.33-36 
#Pages ITE-4 
Date of Issue ITE-MMS-2021-02-11,ITE-ME-2021-02-11,ITE-AIT-2021-02-11 


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