Dense Dilated Network With Probability Regularized Walk for Vessel Detection
文献类型：期刊论文
| 作者 | Mou, Lei; Chen, Li; Cheng, Jun; Gu, Zaiwang; Zhao, Yitian; Liu, Jiang |
| 刊名 | IEEE TRANSACTIONS ON MEDICAL IMAGING
 |
| 出版日期 | 2020 |
| 卷号 | 39期号:5页码:1392-1403 |
| 关键词 | RETINAL BLOOD-VESSELS OPTIC DISC SEGMENTATION IMAGES MODEL ENHANCEMENT IMPACT |
| DOI | 10.1109/TMI.2019.2950051 |
| 英文摘要 | The detection of retinal vessel is of great importance in the diagnosis and treatment of many ocular diseases. Many methods have been proposed for vessel detection. However, most of the algorithms neglect the connectivity of the vessels, which plays an important role in the diagnosis. In this paper, we propose a novel method for retinal vessel detection. The proposed method includes a dense dilated network to get an initial detection of the vessels and a probability regularized walk algorithm to address the fracture issue in the initial detection. The dense dilated network integrates newly proposed dense dilated feature extraction blocks into an encoder-decoder structure to extract and accumulate features at different scales. A multi-scale Dice loss function is adopted to train the network. To improve the connectivity of the segmented vessels, we also introduce a probability regularized walk algorithm to connect the broken vessels. The proposed method has been applied on three public data sets: DRIVE, STARE and CHASE_DB1. The results show that the proposed method outperforms the state-of-the-art methods in accuracy, sensitivity, specificity and also area under receiver operating characteristic curve. |
| 学科主题 | Computer Science ; Engineering ; Imaging Science & Photographic Technology ; Radiology, Nuclear Medicine & Medical Imaging |
| 源URL | [http://ir.nimte.ac.cn/handle/174433/19701]  |
| 专题 | 2020专题 2020专题_期刊论文 |
| 作者单位 | 1.Chen, L (corresponding author), Wuhan Univ Sci & Technol, Sch Comp Sci & Technol, Wuhan 430081, Peoples R China. 2.Cheng, J (corresponding author), Chinese Acad Sci, Cixi Inst Biomed Engn, Ningbo 315201, Peoples R China. |
| 推荐引用方式 GB/T 7714 | Mou, Lei,Chen, Li,Cheng, Jun,et al. Dense Dilated Network With Probability Regularized Walk for Vessel Detection[J]. IEEE TRANSACTIONS ON MEDICAL IMAGING,2020,39(5):1392-1403. |
| APA | Mou, Lei,Chen, Li,Cheng, Jun,Gu, Zaiwang,Zhao, Yitian,&Liu, Jiang.(2020).Dense Dilated Network With Probability Regularized Walk for Vessel Detection.IEEE TRANSACTIONS ON MEDICAL IMAGING,39(5),1392-1403. |
| MLA | Mou, Lei,et al."Dense Dilated Network With Probability Regularized Walk for Vessel Detection".IEEE TRANSACTIONS ON MEDICAL IMAGING 39.5(2020):1392-1403. |
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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