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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
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Conference Information
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  
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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Date Time 2018-02-16 11:15:00 
Presentation Time 15 
Registration for ME 
Paper # ITE-MMS2018-33,ITE-HI2018-33,ITE-ME2018-33,ITE-AIT2018-33 
Volume (vol) ITE-42 
Number (no) no.4 
Page pp.311-314 
#Pages ITE-4 
Date of Issue ITE-MMS-2018-02-08,ITE-HI-2018-02-08,ITE-ME-2018-02-08,ITE-AIT-2018-02-08 

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