GNAS-U2Net: A New Optic Cup and Optic Disc Segmentation Architecture With Genetic Neural Architecture Search

• Published in: IEEE signal processing letters Vol. 29; pp. 697 - 701
• Main Authors: Sun, Jun-Ding, Yao, Chong, Liu, Jie, Liu, Weifan, Yu, Ze-Kuan
• Format: Journal Article
• Language: English
• Published: New York IEEE 2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptive optics; Artificial intelligence; Biomedical optical imaging; Computer architecture; convolutional neural network; Datasets; Image segmentation; Medical imaging; Microprocessors; neural architecture search; Optical imaging; Searching; Task analysis

Neural architecture search (NAS) has made incredible progress in medical image segmentation tasks, due to its automatic design of the model. However, the search spaces studied in many existing studies are based on U-Net and its variants, which limits the potential of neural architecture search in mo...