Shirley Quach, Sakshi Sinha, Alexandra Todd, Andrew Palombella, Jasmine Rockarts, Sarah Wojkowski, Bruce Wainman, Yasmeen Mezil
Dissecting through the decade: a 10-year cross-sectional analysis of interprofessional experiences in the anatomy lab
Journal of interprofessional care
deep models commonly treated blackboxes lack interpretability propose novel approach interpret deep image classifiers generating discrete masks method follows generative adversarial network formalism deep model interpreted discriminator train generator explain generator trained capture discriminative image regions convey similar meaning original image models perspective produces probability map discrete mask sampled discriminator used measure quality sampled mask provide feedbacks updating due sampling operations generator cannot trained directly backpropagation propose update using policy gradient furthermore propose incorporate gradients auxiliary information reduce search space facilitate training conduct quantitative qualitative experiments ilsvrc dataset experimental results indicate method provide reasonable explanations predictions outperform existing approaches addition method pass model randomization test indicating reasoning attribution network predictions