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| Presentation | 2015-03-02 16:00 Segmentation of Blood Vessels in Retinal Fundus Images using Morphology Filter Bank and Artificial Neural Network Tomoki Inoue, Ryutaro Hashimoto, Yoshikazu Uchiyama, Keiichi Uchimura, Gou Koutaki (Kumamoto Univ.)  MI2014-83 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | We propose a method for segmentation of blood vessels in retinal fundus images. In this method, we use a morphology filter bank for extracting line patterns which are the initial candidates of blood vessels. An artificial neural network (ANN) is subsequently employed for removing false positives and segmenting blood vessels in the output image obtained by the morphology filter bank. Morphology filter bank is characterized by the good reproducibility of the shapes of extracted patterns. We evaluated our method using training images and test images of DRIVE database. The result indicated that accuracy was 0.9417. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Retinal fundus image / Mathematical morphology / Artificial Neural Network / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 114, no. 482, MI2014-83, pp. 137-141, March 2015. | |
| Paper # | MI2014-83 | |
| Date of Issue | 2015-02-23 (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. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | MI2014-83 |
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| Conference Information | |
| Committee | MI |
| Conference Date | 2015-03-02 - 2015-03-03 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Hotel Miyahira |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Creation of multidisciplinary computational anatomy, Forefront of medical image engineering, General topics in medical imaging |
| Paper Information | |
| Registration To | MI |
| Conference Code | 2015-03-MI |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Segmentation of Blood Vessels in Retinal Fundus Images using Morphology Filter Bank and Artificial Neural Network |
| Sub Title (in English) | |
| Keyword(1) | Retinal fundus image |
| Keyword(2) | Mathematical morphology |
| Keyword(3) | Artificial Neural Network |
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| 1st Author's Name | Tomoki Inoue |
| 1st Author's Affiliation | Kumamoto University (Kumamoto Univ.) |
| 2nd Author's Name | Ryutaro Hashimoto |
| 2nd Author's Affiliation | Kumamoto University (Kumamoto Univ.) |
| 3rd Author's Name | Yoshikazu Uchiyama |
| 3rd Author's Affiliation | Kumamoto University (Kumamoto Univ.) |
| 4th Author's Name | Keiichi Uchimura |
| 4th Author's Affiliation | Kumamoto University (Kumamoto Univ.) |
| 5th Author's Name | Gou Koutaki |
| 5th Author's Affiliation | Kumamoto University (Kumamoto Univ.) |
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| Speaker | Author-1 |
| Date Time | 2015-03-02 16:00:00 |
| Presentation Time | 12 minutes |
| Registration for | MI |
| Paper # | MI2014-83 |
| Volume (vol) | vol.114 |
| Number (no) | no.482 |
| Page | pp.137-141 |
| #Pages | 5 |
| Date of Issue | 2015-02-23 (MI) |
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