Boundary Aware U-Net for Retinal Layers Segmentation in Optical Coherence Tomography Images
文献类型:期刊论文
作者 | Bo,Wang2,3; Wei,Wei2,3; Shuang,Qiu3; Shengpei,Wang2,3; Huiguang,He1,2,3 |
刊名 | IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS |
出版日期 | 2021-08 |
卷号 | 25期号:8页码:0-0 |
关键词 | Retinal layers segmentation Boundary detection OCT BAU-Net Topology guarantee loss |
英文摘要 | Retinal layers segmentation in optical coherence tomography (OCT) images is a critical step in the diagnosis of numerous ocular diseases. Automatic layers segmentation requires separating each individual layer instance with accurate boundary detection, but remains a challenging task since it suffers from speckle noise, intensity inhomogeneity, and the low contrast around boundary. In this work, we proposed a boundary aware U-Net (BAU-Net) for retinal layers segmentation by detecting accurate boundary. Based on encoder-decoder architecture, we design a dual tasks framework with low-level outputs for boundary detection and high-level outputs for layers segmentation. Specifically, we first use the multi-scale input strategy to enrich the spatial information in the deep features of encoder. For low-level features from encoder, we design an edge aware (EA) module in skip connection to extract the pure edge features. Then, a U-structure feature enhanced (UFE) module is designed in all skip connections to enlarge the features receptive fields from the encoder. |
源URL | [http://ir.ia.ac.cn/handle/173211/44914] |
专题 | 类脑智能研究中心_神经计算及脑机交互 |
通讯作者 | Huiguang,He |
作者单位 | 1.the Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences 2.the School of Artificial Intelligence, University of Chinese Academy of Sciences 3.the Research Center for Brain-Inspired Intelligence, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences |
推荐引用方式 GB/T 7714 | Bo,Wang,Wei,Wei,Shuang,Qiu,et al. Boundary Aware U-Net for Retinal Layers Segmentation in Optical Coherence Tomography Images[J]. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS,2021,25(8):0-0. |
APA | Bo,Wang,Wei,Wei,Shuang,Qiu,Shengpei,Wang,&Huiguang,He.(2021).Boundary Aware U-Net for Retinal Layers Segmentation in Optical Coherence Tomography Images.IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS,25(8),0-0. |
MLA | Bo,Wang,et al."Boundary Aware U-Net for Retinal Layers Segmentation in Optical Coherence Tomography Images".IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS 25.8(2021):0-0. |
入库方式: OAI收割
来源:自动化研究所
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