DISCOVER is a generative model for visual interpretability of image-based classification models. DISCOVER’s disentanglement module enables visual interpretation of one semantic classification-driving feature at a time. We applied DISCOVER to interpret classification of the morphology quality of in vitro fertilization embryos.
Project led by Oded Rotem in collaboration with AIVF.
Brief Twitter summary: https://x.com/AssafZaritsky/status/1829016695299571958
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