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Paper Abstract and Keywords
Presentation 2019-01-23 15:35
Investigation of relationships between image features of histological images in prostate cancer and Gleason scores
Kenta Ninomiya, Hidetaka Arimura, Ryoma Koyanagi, Fumio Kinoshita, Alamgir Hossain, Sumiko Watanabe (Kyushu Univ.), Kenjiro Imada (Kyushu Univ. Hosp.), Yoshinao Oda (Kyushu Univ.) MI2018-112
Abstract (in Japanese) (See Japanese page) 
(in English) We aimed to investigate relationships between quantitative image features and Gleason scores that are subjectively determined in clinical practice. The 54 image features were calculated based on histograms and textures such as gray-level co-occurrence, run-length, size-zone, and neighborhood gray-tone difference matrices within cancer regions in grayscale histological images of components for red, green and blue. There were statistically significant differences in feature means between high (≥ 4+3) and low (≤ 3+4) Gleason score groups (t-test, p < 0.05). Our study demonstrated a capability of quantitative image features to stratify prostate cancer histological images into high and low Gleason scores groups.
Keyword (in Japanese) (See Japanese page) 
(in English) prostate cancer / histological images / Gleason scores / texture analysis / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 412, MI2018-112, pp. 229-232, Jan. 2019.
Paper # MI2018-112 
Date of Issue 2019-01-15 (MI) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
Copyright
and
reproduction
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (No. 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee MI  
Conference Date 2019-01-22 - 2019-01-23 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English) Medical Image Engineering, Analysis, Recognition, etc. 
Paper Information
Registration To MI 
Conference Code 2019-01-MI 
Language English (Japanese title is available) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Investigation of relationships between image features of histological images in prostate cancer and Gleason scores 
Sub Title (in English)  
Keyword(1) prostate cancer  
Keyword(2) histological images  
Keyword(3) Gleason scores  
Keyword(4) texture analysis  
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1st Author's Name Kenta Ninomiya  
1st Author's Affiliation Kyushu University (Kyushu Univ.)
2nd Author's Name Hidetaka Arimura  
2nd Author's Affiliation Kyushu University (Kyushu Univ.)
3rd Author's Name Ryoma Koyanagi  
3rd Author's Affiliation Kyushu University (Kyushu Univ.)
4th Author's Name Fumio Kinoshita  
4th Author's Affiliation Kyushu University (Kyushu Univ.)
5th Author's Name Alamgir Hossain  
5th Author's Affiliation Kyushu University (Kyushu Univ.)
6th Author's Name Sumiko Watanabe  
6th Author's Affiliation Kyushu University (Kyushu Univ.)
7th Author's Name Kenjiro Imada  
7th Author's Affiliation Kyushu University Hospital (Kyushu Univ. Hosp.)
8th Author's Name Yoshinao Oda  
8th Author's Affiliation Kyushu University (Kyushu Univ.)
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Speaker
Date Time 2019-01-23 15:35:00 
Presentation Time 15 
Registration for MI 
Paper # IEICE-MI2018-112 
Volume (vol) IEICE-118 
Number (no) no.412 
Page pp.229-232 
#Pages IEICE-4 
Date of Issue IEICE-MI-2019-01-15 


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