| Paper Abstract and Keywords |
| Presentation |
2018-02-16 11:15
A note on classification of brain metastases from MR images based on machine learning
Kento Sugata, Takahiro Ogawa, Miki Haseyama, Khin Khin Tha, Kohsuke Kudo, Hiroki Shirato (Hokkaido Univ.) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
This paper presents a method that classifies magnetic resonance (MR) images suffered from brain metastases. The proposed method enables classification of brain metastases based on feature extraction and machine learning methodology. Specifically, this paper considers a real situation that there are no segmentation results for MR images assigned by radiologists’ reading. Firstly, the public dataset, called brain tumor segmentation (BraTS) dataset, is used for training data reconstruction, and the classification model is constructed based on machine learning. Consequently, the accurate classification of brain metastasis with considering the real situation is expected. Experimental results obtained by applying our method to MR images show its effectiveness. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
brain metastasis / magnetic resonance / machine learning / brain tumor segmentation (BraTS) dataset / / / / |
| Reference Info. |
ITE Tech. Rep., vol. 42, no. 4, ME2018-33, pp. 311-314, Feb. 2018. |
| Paper # |
ME2018-33 |
| Date of Issue |
2018-02-08 (MMS, HI, ME, AIT) |
| ISSN |
Print edition: ISSN 1342-6893 Online edition: ISSN 2424-1970 |
| Download PDF |
|
| Conference Information |
| Committee |
IEICE-ITS IEICE-IE MMS HI ME AIT |
| Conference Date |
2018-02-15 - 2018-02-16 |
| 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 |
2018-02-ITS-IE-MMS-HI-ME-AIT |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
A note on classification of brain metastases from MR images based on machine learning |
| Sub Title (in English) |
|
| Keyword(1) |
brain metastasis |
| Keyword(2) |
magnetic resonance |
| Keyword(3) |
machine learning |
| Keyword(4) |
brain tumor segmentation (BraTS) dataset |
| Keyword(5) |
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| 1st Author's Name |
Kento Sugata |
| 1st Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
| 2nd Author's Name |
Takahiro Ogawa |
| 2nd Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
| 3rd Author's Name |
Miki Haseyama |
| 3rd Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
| 4th Author's Name |
Khin Khin Tha |
| 4th Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
| 5th Author's Name |
Kohsuke Kudo |
| 5th Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
| 6th Author's Name |
Hiroki Shirato |
| 6th Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2018-02-16 11:15:00 |
| Presentation Time |
15 minutes |
| Registration for |
ME |
| Paper # |
MMS2018-33, HI2018-33, ME2018-33, AIT2018-33 |
| Volume (vol) |
vol.42 |
| Number (no) |
no.4 |
| Page |
pp.311-314 |
| #Pages |
4 |
| Date of Issue |
2018-02-08 (MMS, HI, ME, AIT) |