HIGHLIGHTS
- who: Xu Zhang from the Wuyi University, China have published the research: Convolutional autoencoder joint boundary and mask adversarial learning for fundus image segmentation, in the Journal: (JOURNAL)
- what: Inspired by this boundary method, the authors propose to use a convolutional auto-encoder to augment the data, and perform adversarial learning on the boundary and entropy maps to generate more accurate boundaries for OD and OC segmentation. The authors propose a novel domain adaptation framework, called Convolutional Autoencoder Joint Boundary and Mask Adversarial Learning (CAE-BMAL), to augment the data and improve OD/OC on . . .
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