Locally-Run Interpretable Breast Cancer Diagnosis from Histology Images

Abstract

A locally-run, interpretable web application for breast cancer diagnosis from histopathology images, built to give clinicians a transparent, explainable prediction rather than an opaque classification.

Jeremiah Fadugba (Jerofad)

Data Scientist | Machine Learning Engineer

My current research interests include Medical Imaging, Machine Learning, Deep Learning, and Trustworthy ML.