Visual_Interpretability_of_Bioimaging_Deep_Learning_Models__neurips_

Download PDF

Oded Rotem

Published: 09 Dec 2024, Last Modified: 15 Dec 2024AIM-FM Workshop @ NeurIPS'24 RejectEveryoneRevisionsBibTeXCC BY 4.0
Keywords: Interpretability, bioimaging, medical
TL;DR: Comment paper about explainable artificial intelligence (XAI) in bioimaging
Abstract: The success of deep learning in analyzing bioimages comes at the expense of biologically meaningful interpretations. We review the state of the art of explainable artificial intelligence (XAI) in bioimaging and discuss its potential in hypothesis generation and data-driven discovery.
Submission Number: 84

OpenReview is a long-term project to advance science through improved peer review with legal nonprofit status. We gratefully acknowledge the support of the OpenReview Sponsors. © 2025 OpenReview