Retinal Vessel Segmentation With Skeletal Prior and Contrastive Loss

• Published in: IEEE transactions on medical imaging Vol. 41; no. 9; pp. 2238 - 2251
• Main Authors: Tan, Yubo, Yang, Kai-Fu, Zhao, Shi-Xuan, Li, Yong-Jie
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.09.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Blood vessels; contrastive loss; data augmentation; Datasets; Deep learning; Feature extraction; Fundus image; Image segmentation; Lesions; Morphology; Optical imaging; Retina; Retinal vessels; skeletal prior; Skeleton; Source code; vessel segmentation; Vessels

The morphology of retinal vessels is closely associated with many kinds of ophthalmic diseases. Although huge progress in retinal vessel segmentation has been achieved with the advancement of deep learning, some challenging issues remain. For example, vessels can be disturbed or covered by other com...