| IEICE Technical Committee Submission System Conference Paper's Information |
Online Proceedings [Sign in] Tech. Rep. Archives |
| Go Top Page | Go Previous | [Japanese] / [English] |
| Paper Abstract and Keywords | ||
| Presentation | 2020-01-29 13:20 Imbalanced Subarachnoid Hemorrhage data automatic detection by using SMOTE algorithm based on deep learning Zhongyang Lu, Masahiro Oda, Yuichiro Hayashi, Hayato Ito (Nagoya Univ), Takeyuki Watadani, Osamu Abe (Department of Radiology,The Univ of Tokyo Hospital), Masahiro Hashimoto, Masahiro Jinzaki (Department of Radiology,Keio Univ School of Medicine), Kensaku Mori (Nagoya Univ)  MI2019-75 |
|
| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Based on deep learning techniques, the performance of image classification has made significant progress. Especially in the medical image processing field, the CNNs are broadly utilized. However, for the most problems in the real world, the numbers of every class in the data set are not equal, called imbalanced data. It causes a low recall of the minority class. In this paper, we apply the SMOTE method to alleviate the imbalanced problem on anomaly detection. Sequentially, we utilize this strategy on the Subarachnoid Hemorrhage (SAH) detection with imbalanced data based on deep learning techniques and discuss the efficiency. In this study, 33 cases of SAH data combined with 33 cases, and 100 cases of normal brain CT, respectively, are applied to support our experiments. We utilize F-measure and ROC curve for evaluating the trained models. Trained on the 33 cases SAH and 100 cases normal dataset, the model got 0.731 AUC score without SMOTE processing. With SMOTE, acquired 0.830 AUC score, and during SMOTE and data augmentation, the performance was improved into a 0.875 AUC score. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Deep learning / Imbalanced classification / Subarachnoid Hemorrhage / data augmentation / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 399, MI2019-75, pp. 47-52, Jan. 2020. | |
| Paper # | MI2019-75 | |
| Date of Issue | 2020-01-22 (MI) | |
| ISSN | 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 | MI2019-75 |
|
| Conference Information | |
| Committee | MI |
| Conference Date | 2020-01-29 - 2020-01-30 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | OKINAWAKEN SEINENKAIKAN |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Medical Image Engineering, Analysis, Recognition, etc. |
| Paper Information | |
| Registration To | MI |
| Conference Code | 2020-01-MI |
| Language | English (Japanese title is available) |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Imbalanced Subarachnoid Hemorrhage data automatic detection by using SMOTE algorithm based on deep learning |
| Sub Title (in English) | |
| Keyword(1) | Deep learning |
| Keyword(2) | Imbalanced classification |
| 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 | Nagoya University (Nagoya Univ) |
| 2nd Author's Name | Masahiro Oda |
| 2nd Author's Affiliation | Nagoya University (Nagoya Univ) |
| 3rd Author's Name | Yuichiro Hayashi |
| 3rd Author's Affiliation | Nagoya University (Nagoya Univ) |
| 4th Author's Name | Hayato Ito |
| 4th Author's Affiliation | Nagoya University (Nagoya Univ) |
| 5th Author's Name | Takeyuki Watadani |
| 5th Author's Affiliation | Department of Radiology,The University of Tokyo Hospital (Department of Radiology,The Univ of Tokyo Hospital) |
| 6th Author's Name | Osamu Abe |
| 6th Author's Affiliation | Department of Radiology,The University of Tokyo Hospital (Department of Radiology,The Univ of Tokyo Hospital) |
| 7th Author's Name | Masahiro Hashimoto |
| 7th Author's Affiliation | Department of Radiology,Keio University School of Medicine (Department of Radiology,Keio Univ School of Medicine) |
| 8th Author's Name | Masahiro Jinzaki |
| 8th Author's Affiliation | Department of Radiology,Keio University School of Medicine (Department of Radiology,Keio Univ School of Medicine) |
| 9th Author's Name | Kensaku Mori |
| 9th Author's Affiliation | Nagoya University (Nagoya Univ) |
| 10th Author's Name | |
| 10th Author's Affiliation | () |
| 11th Author's Name | |
| 11th Author's Affiliation | () |
| 12th Author's Name | |
| 12th Author's Affiliation | () |
| 13th Author's Name | |
| 13th Author's Affiliation | () |
| 14th Author's Name | |
| 14th Author's Affiliation | () |
| 15th Author's Name | |
| 15th Author's Affiliation | () |
| 16th Author's Name | |
| 16th Author's Affiliation | () |
| 17th Author's Name | |
| 17th Author's Affiliation | () |
| 18th Author's Name | |
| 18th Author's Affiliation | () |
| Speaker | Author-1 |
| Date Time | 2020-01-29 13:20:00 |
| Presentation Time | 30 minutes |
| Registration for | MI |
| Paper # | MI2019-75 |
| Volume (vol) | vol.119 |
| Number (no) | no.399 |
| Page | pp.47-52 |
| #Pages | 6 |
| Date of Issue | 2020-01-22 (MI) |
[Return to Top Page]