Paper Abstract and Keywords |
Presentation |
2018-12-07 12:30
[Keynote Address]
AI in medical imaging diagnosis Hiroshi Fujita (Gifu Univ.) VLD2018-68 CPM2018-93 ICD2018-54 IE2018-72 CPSY2018-39 DC2018-54 RECONF2018-45 Link to ES Tech. Rep. Archives: CPM2018-93 ICD2018-54 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
It is entering the third artificial intelligence (AI) boom. In particular, with the advent of "deep learning" technology which is a type of "machine learning" method by which computers learn themselves (learning features and rules), the accuracy of image recognition has reached a level exceeding human intellect. The "Singularity (technological singularity)" in which AI exceeds humanity is presumed to be 2045 years. No, in the world of games like Shogi and Go, Singularity has already come. Development and introduction of AI in the medical field is rapidly progressing. The Ministry of Health, Labor and Welfare society gathering announced a report incorporating AI-based diagnosis of diseases and support for drug development in July 2017, which will be realized in FY 2020, and as a priority area to promote development, in particular, "genome medical care", "imaging diagnosis support", "diagnosis / treatment support", and "drug development". In this presentation, I will outline the current status and problems of AI introduction in medical imaging diagnostic field, future prospects and so on. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Medical imaging / Artificial intelligence (AI) / Computer-aided diagnosis (CAD) / AI-CAD / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 118, no. 338, IE2018-72, pp. 27-27, Dec. 2018. |
Paper # |
IE2018-72 |
Date of Issue |
2018-11-28 (VLD, CPM, ICD, IE, CPSY, DC, RECONF) |
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. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
Download PDF |
VLD2018-68 CPM2018-93 ICD2018-54 IE2018-72 CPSY2018-39 DC2018-54 RECONF2018-45 Link to ES Tech. Rep. Archives: CPM2018-93 ICD2018-54 |
Conference Information |
Committee |
VLD DC CPSY RECONF CPM ICD IE IPSJ-SLDM |
Conference Date |
2018-12-05 - 2018-12-07 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Satellite Campus Hiroshima |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Design Gaia 2018 -New Field of VLSI Design- |
Paper Information |
Registration To |
IE |
Conference Code |
2018-12-VLD-DC-CPSY-RECONF-CPM-ICD-IE-SLDM-EMB-ARC |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
AI in medical imaging diagnosis |
Sub Title (in English) |
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Medical imaging |
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Artificial intelligence (AI) |
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Computer-aided diagnosis (CAD) |
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AI-CAD |
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1st Author's Name |
Hiroshi Fujita |
1st Author's Affiliation |
Gifu University (Gifu Univ.) |
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Speaker |
Author-1 |
Date Time |
2018-12-07 12:30:00 |
Presentation Time |
60 minutes |
Registration for |
IE |
Paper # |
VLD2018-68, CPM2018-93, ICD2018-54, IE2018-72, CPSY2018-39, DC2018-54, RECONF2018-45 |
Volume (vol) |
vol.118 |
Number (no) |
no.334(VLD), no.336(CPM), no.337(ICD), no.338(IE), no.339(CPSY), no.335(DC), no.340(RECONF) |
Page |
p.201(VLD), p.27(CPM), p.27(ICD), p.27(IE), p.31(CPSY), p.201(DC), p.61(RECONF) |
#Pages |
1 |
Date of Issue |
2018-11-28 (VLD, CPM, ICD, IE, CPSY, DC, RECONF) |
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