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Paper Abstract and Keywords
Presentation 2020-11-04 16:10
Performance of automated melanoma diagnosis by adding lesion information to deep convolutional neural network
Ginji Hirano, Mitsutaka Nemoto, Yuich Kimura, Takashi Nagaoka (Kindai University) MICT2020-20 MI2020-46
Abstract (in Japanese) (See Japanese page) 
(in English) Melanoma is a type of superficial tumor, which is highly malignant. Early-stage melanoma is difficult to diagnose because it looks like a benign lesion. In this study, we developed an automatic melanoma diagnostic system using the DCNN. We replaced any one of the three channels of the RGB image with the lesion image to pay attention to the lesion in the DCNN. In this study, we show the analysis results using 1000 cases of melanoma and non-melanoma.
Keyword (in Japanese) (See Japanese page) 
(in English) melanoma / Deep Learngin / VGG16 / HAM10000 / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 220, MI2020-46, pp. 62-64, Nov. 2020.
Paper # MI2020-46 
Date of Issue 2020-10-28 (MICT, MI) 
ISSN Online edition: ISSN 2432-6380
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. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF MICT2020-20 MI2020-46

Conference Information
Committee MICT MI  
Conference Date 2020-11-04 - 2020-11-04 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Medical imaging technology, healthcare and medical information communication technology 
Paper Information
Registration To MI 
Conference Code 2020-11-MICT-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Performance of automated melanoma diagnosis by adding lesion information to deep convolutional neural network 
Sub Title (in English)
Keyword(1) melanoma  
Keyword(2) Deep Learngin  
Keyword(3) VGG16  
Keyword(4) HAM10000  
1st Author's Name Ginji Hirano  
1st Author's Affiliation Kindai University (Kindai University)
2nd Author's Name Mitsutaka Nemoto  
2nd Author's Affiliation Kindai University (Kindai University)
3rd Author's Name Yuich Kimura  
3rd Author's Affiliation Kindai University (Kindai University)
4th Author's Name Takashi Nagaoka  
4th Author's Affiliation Kindai University (Kindai University)
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Speaker Author-1 
Date Time 2020-11-04 16:10:00 
Presentation Time 20 minutes 
Registration for MI 
Paper # MICT2020-20, MI2020-46 
Volume (vol) vol.120 
Number (no) no.219(MICT), no.220(MI) 
Page pp.62-64 
Date of Issue 2020-10-28 (MICT, MI) 

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