Interpretation of Disease Evidence for Medical Images Using Adversarial Deformation Fields

1 code implementation • 4 Jul 2020 • Ricardo Bigolin Lanfredi, Joyce D. Schroeder, Clement Vachet, Tolga Tasdizen

The high complexity of deep learning models is associated with the difficulty of explaining what evidence they recognize as correlating with specific disease labels.

Adversarial regression training for visualizing the progression of chronic obstructive pulmonary disease with chest x-rays

1 code implementation • 27 Aug 2019 • Ricardo Bigolin Lanfredi, Joyce D. Schroeder, Clement Vachet, Tolga Tasdizen

We use a conditional generative adversarial network where the generator attempts to learn to shift the output of a regressor through creating disease effect maps that are added to the original images.

Generative Adversarial Network regression