Optic Disc Detection via Deep Learning in Fundus Images
文献类型：会议论文
| 作者 | Xu, Peiyuan; Wan, Cheng; Cheng, Jun; Niu, Di; Liu, Jiang |
| 出版日期 | 2017 |
| 会议日期 | 2017-09-14 |
| 关键词 | RETINAL IMAGES |
| 卷号 | 10554 |
| DOI | 10.1007/978-3-319-67561-9_15 |
| 英文摘要 | In order to realize the localization of optic disc (OD) effectively, a new end-to-end approach based on CNN was proposed in this paper. CNN is a revolutionary network structure which has shown its power in fields of computer vision like classification, object detection and segmentation. We intend to make use of CNN in the study of fundus images. Firstly, we use a basic CNN on which specialized layers are trained to find the pixels probably in OD region. Then we sort out candidate pixels furtherly via threshold. By calculating the center of gravity of these pixels, the location of OD is finally determined. The method has been tested on three databases including ORIGA, MESSIDOR and STARE. In totally 1240 images to be tested, the OD of 1193 are successfully located with the rate of 96.2%. Besides the accuracy, the time cost is another advantage. It takes only 0.93 s to test one image on average in STARE and 0.51 s in MESSIDOR. |
| 会议录出版者 | Lecture Notes in Computer Science |
| 学科主题 | Computer Science ; Imaging Science & Photographic Technology |
| ISSN号 | 0302-9743 |
| ISBN号 | 978-3-319-67561-9; 978-3-319-67560-2 |
| 源URL | [http://ir.nimte.ac.cn/handle/174433/23437]  |
| 专题 | 会议专题 会议专题_会议论文 |
| 推荐引用方式 GB/T 7714 | Xu, Peiyuan,Wan, Cheng,Cheng, Jun,et al. Optic Disc Detection via Deep Learning in Fundus Images[C]. 见:. 2017-09-14. |
入库方式： OAI收割
来源：宁波材料技术与工程研究所
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