DIAGNOSE: Avoiding Out-of-distribution Data using Submodular Information Measures

no code implementations • 4 Oct 2022 • Suraj Kothawade, Akshit Srivastava, Venkat Iyer, Ganesh Ramakrishnan, Rishabh Iyer

Avoiding out-of-distribution (OOD) data is critical for training supervised machine learning models in the medical imaging domain.

Active Learning

CLINICAL: Targeted Active Learning for Imbalanced Medical Image Classification

no code implementations • 4 Oct 2022 • Suraj Kothawade, Atharv Savarkar, Venkat Iyer, Lakshman Tamil, Ganesh Ramakrishnan, Rishabh Iyer

It is often the case that a suboptimal performance is obtained on some classes due to the natural class imbalance issue that comes with medical data.

Active Learning Image Classification +1