Generalized Zero Shot Learning For Medical Image Classification. (arXiv:2204.01728v1 [eess.IV])

In many real world medical image classification settings we do not have
access to samples of all possible disease classes, while a robust system is
expected to give high performance in recognizing novel test data. We propose a
generalized zero shot learning (GZSL) method that uses self supervised learning
(SSL) for: 1) selecting anchor vectors of different disease classes; and 2)
training a feature generator. Our approach does not require class attribute
vectors which are available for natural images but …

arxiv classification image learning medical zero shot learning