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cs.CV2023
Active Globally Explainable Learning for Medical Images via Class Association Embedding and Cyclic Adversarial Generation
Ruitao Xie, Jingbang Chen, Limai Jiang +3
Explainability poses a major challenge to artificial intelligence (AI) techniques. Current studies on explainable AI (XAI) lack the efficiency of extracting global knowledge about…
cs.CV2023★ 3 cited
SCOPE: Structural Continuity Preservation for Medical Image Segmentation
Yousef Yeganeh, Azade Farshad, Goktug Guevercin +5
Although the preservation of shape continuity and physiological anatomy is a natural assumption in the segmentation of medical images, it is often neglected by deep learning method…