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| Presentation | 2019-05-24 15:15 On the influence of data augmentation and network structures in bleeding detection from brain CT images using deep learning Zhongyang Lu, Masahiro Oda, Tong Zheng, Chen Shen, Tao Hu (Graduate School of Informatics, Nagoya Univ), Takeyuki Watadani, Osamu Abe (Department of Radiology,The University of Tokyo Hospital), Masahiro Hashimoto, Masahiro Jinzaki (Department of Radiology,Keio University School of Medicine), Kensaku Mori (Graduate School of Informatics, Nagoya Univ)  SIP2019-15 IE2019-15 MI2019-15 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Based on deep learning technique, the performance of image classification has made great progress. However, their state-of-the-art results are based on enormous data. In this paper, we discuss the effectiveness of data augmentation. Several networks, such as VGG-16, GoogLeNet, Resnet-50, and DenseNet-121 are applied to examine the effectiveness of data augmentation and image cropping on the classification. In this study, 33 cases, a total of 1,220 2D axial CT slices with the condition of Subarachnoid Hemorrhage (SAH) are used in our experiment. This paper utilizes the standard performance measures covering recall, precision, F-measure, and ROC curve for evaluating the trained models. For acquiring more reliable results, 5-fold cross-validation method is employed. Trained on the original dataset, the models got 74.99% F1 score and 0.8220 AUC score, respectively. With the circumstance of augmented dataset, the models got 76.23% F1 score and 0.8396 AUC score. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Deep learning / brain CT / Subarachnoid Hemorrhage / data augmentation / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 51, MI2019-15, pp. 65-70, May 2019. | |
| Paper # | MI2019-15 | |
| Date of Issue | 2019-05-16 (SIP, IE, 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 | SIP2019-15 IE2019-15 MI2019-15 |
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| Conference Information | |
| Committee | SIP MI IE |
| Conference Date | 2019-05-23 - 2019-05-24 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | MI |
| Conference Code | 2019-05-SIP-MI-IE |
| Language | English (Japanese title is available) |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | On the influence of data augmentation and network structures in bleeding detection from brain CT images using deep learning |
| Sub Title (in English) | |
| Keyword(1) | Deep learning |
| Keyword(2) | brain CT |
| Keyword(3) | Subarachnoid Hemorrhage |
| Keyword(4) | data augmentation |
| Keyword(5) | |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Zhongyang Lu |
| 1st Author's Affiliation | Graduate School of Informatics, Nagoya University (Graduate School of Informatics, Nagoya Univ) |
| 2nd Author's Name | Masahiro Oda |
| 2nd Author's Affiliation | Graduate School of Informatics, Nagoya University (Graduate School of Informatics, Nagoya Univ) |
| 3rd Author's Name | Tong Zheng |
| 3rd Author's Affiliation | Graduate School of Informatics, Nagoya University (Graduate School of Informatics, Nagoya Univ) |
| 4th Author's Name | Chen Shen |
| 4th Author's Affiliation | Graduate School of Informatics, Nagoya University (Graduate School of Informatics, Nagoya Univ) |
| 5th Author's Name | Tao Hu |
| 5th Author's Affiliation | Graduate School of Informatics, Nagoya University (Graduate School of Informatics, Nagoya Univ) |
| 6th Author's Name | Takeyuki Watadani |
| 6th Author's Affiliation | Department of Radiology,The University of Tokyo Hospital (Department of Radiology,The University of Tokyo Hospital) |
| 7th Author's Name | Osamu Abe |
| 7th Author's Affiliation | Department of Radiology,The University of Tokyo Hospital (Department of Radiology,The University of Tokyo Hospital) |
| 8th Author's Name | Masahiro Hashimoto |
| 8th Author's Affiliation | Department of Radiology,Keio University School of Medicine (Department of Radiology,Keio University School of Medicine) |
| 9th Author's Name | Masahiro Jinzaki |
| 9th Author's Affiliation | Department of Radiology,Keio University School of Medicine (Department of Radiology,Keio University School of Medicine) |
| 10th Author's Name | Kensaku Mori |
| 10th Author's Affiliation | Graduate School of Informatics, Nagoya University (Graduate School of Informatics, Nagoya Univ) |
| Speaker | Author-1 |
| Date Time | 2019-05-24 15:15:00 |
| Presentation Time | 25 minutes |
| Registration for | MI |
| Paper # | SIP2019-15, IE2019-15, MI2019-15 |
| Volume (vol) | vol.119 |
| Number (no) | no.49(SIP), no.50(IE), no.51(MI) |
| Page | pp.65-70 |
| #Pages | 6 |
| Date of Issue | 2019-05-16 (SIP, IE, MI) |
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