Self-supervised learning for medical image analysis: Discriminative, restorative, or adversarial?

Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, Jianming Liang

Abstract: Highlights•An analysis into the synergy of discriminative, restorative, and adversarial learning.•The first framework that unites discriminative, restorative, and adversarial learning.•Extensive experiments that demonstrate the generalizability of the proposed framework.•A set of feature evaluations that reveal insights into the representations’ quality.