Peripapillary Atrophy Segmentation in Fundus Images via Multi-task Learning
文献类型:期刊论文
作者 | Wei, Xiao2; Jiang, Bo; Ling, Yuye2; Jin, Peiyao4; Wang, Yifan2; Wang, Xinbing2; Zhou, Chenghu1 |
刊名 | MEDICAL IMAGING 2023 |
出版日期 | 2023-05-01 |
卷号 | 12464页码:124641C |
关键词 | Peripapillary atrophy segmentation Optic disc Dice loss Multi-task learning |
DOI | 10.1117/12.2652897 |
文献子类 | Proceedings Paper |
英文摘要 | Peripapillary atrophy (PPA), a type of aberrant retinal symptom frequently present in older individuals or people with myopia, might indicate the severity of glaucoma or myopia. It is particularly beneficial for diagnosis when PPA is segmented effectively in fundus images. Deep learning is now frequently used for PPA segmentation. However, previous segmentation algorithms frequently mix up PPA with its neighboring tissue, the optic disc (OD), and generate the incorrect PPA area even though PPA is not present in the fundus image. To address these problems, we propose an improved segmentation network based on multi-task learning by combining detection and segmentation of PPA. We analyze the shortcomings of widely used loss functions and define a modified one to guide the training process of the network. We design a three-class segmentation task by introducing the information of OD, forcing the network to learn the difference of characteristics between OD and PPA. Evaluation on a clinical dataset shows that our method achieves an average Dice coefficient of 0.8854 in PPA segmentation, outperforming UNet and TransUNet, two state-of-the-art methods, by 24.4% and 10.6%, respectively. |
WOS研究方向 | Computer Science ; Engineering |
WOS记录号 | WOS:001011420500041 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/200889] |
专题 | 资源与环境信息系统国家重点实验室_外文论文 |
作者单位 | 1.Shanghai Jiao Tong Univ, Shanghai Gen Hosp, Dept Ophthalmol, Shanghai, Peoples R China 2.Shanghai Jiao Tong Univ, John Hopcroft Ctr Comp Sci, Shanghai, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China 4.Shanghai Jiao Tong Univ, Dept Elect Engn, Shanghai, Peoples R China |
推荐引用方式 GB/T 7714 | Wei, Xiao,Jiang, Bo,Ling, Yuye,et al. Peripapillary Atrophy Segmentation in Fundus Images via Multi-task Learning[J]. MEDICAL IMAGING 2023,2023,12464:124641C. |
APA | Wei, Xiao.,Jiang, Bo.,Ling, Yuye.,Jin, Peiyao.,Wang, Yifan.,...&Zhou, Chenghu.(2023).Peripapillary Atrophy Segmentation in Fundus Images via Multi-task Learning.MEDICAL IMAGING 2023,12464,124641C. |
MLA | Wei, Xiao,et al."Peripapillary Atrophy Segmentation in Fundus Images via Multi-task Learning".MEDICAL IMAGING 2023 12464(2023):124641C. |
入库方式: OAI收割
来源:地理科学与资源研究所
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