Soul: An OCTA dataset based on Human Machine Collaborative Annotation Framework

• Published in: Scientific data Vol. 11; no. 1; pp. 838 - 9
• Main Authors: Xue, Jingyan, Feng, Zhenhua, Zeng, Lili, Wang, Shuna, Zhou, Xuezhong, Xia, Jianan, Deng, Aijun
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 02.08.2024; Nature Publishing Group; Nature Portfolio
• Subjects: 631/114/1314; 631/114/2397; 631/114/2402; Angiography; Blood vessels; Collaboration; Data Descriptor; Datasets; Datasets as Topic; Eye diseases; Humanities and Social Sciences; Humans; Information processing; Machine Learning; multidisciplinary; Retina; Retinal Vein Occlusion; Retinal Vessels - diagnostic imaging; Science; Science (multidisciplinary); Tomography, Optical Coherence; Vascular diseases; Visual perception

Branch retinal vein occlusion (BRVO) is the most prevalent retinal vascular disease that constitutes a threat to vision due to increased venous pressure caused by venous effluent in the space, leading to impaired visual function. Optical Coherence Tomography Angiography (OCTA) is an innovative non-i...