OCTAve: 2D en face optical coherence tomography angiography vessel segmentation in weakly-supervised learning with locality augmentation

• Main Authors: Chinkamol, Amrest, Kanjaras, Vetit, Sawangjai, Phattarapong, Zhao, Yitian, Sudhawiyangkul, Thapanun, Chantrapornchai, Chantana, Guan, Cuntai, Wilaiprasitporn, Theerawit
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2023
• Subjects: Engineering::Computer science and engineering; Vessel Segmentation; Deep Neural Network
• Online Access: https://hdl.handle.net/10356/170711
• Institution: Nanyang Technological University

Objective: While the microvasculature annotation within Optical Coherence Tomography Angiography (OCTA) can be leveraged using deep-learning techniques, expensive annotation processes are required to create sufficient training data. One way to avoid the expensive annotation is to use a type of weak...