| 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 |
| Download PDF |
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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) |
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| Keyword(1) |
breast cancer |
| Keyword(2) |
axillary lymph node |
| Keyword(3) |
FDG-PET/CT |
| Keyword(4) |
convolutional neural network |
| Keyword(5) |
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| Keyword(6) |
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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 |
Author-1 |
| Date Time |
2021-02-18 13:50:00 |
| Presentation Time |
25 minutes |
| Registration for |
ME |
| Paper # |
MMS2021-7, ME2021-7, AIT2021-7 |
| Volume (vol) |
vol.45 |
| Number (no) |
no.4 |
| Page |
pp.33-36 |
| #Pages |
4 |
| Date of Issue |
2021-02-11 (MMS, ME, AIT) |