Nathalie C. Rioux-Leclercq

This paper develops a deep learning model that accurately segments tumors using only eight whole-slide images, showing that small, well-annotated datasets can achieve high performance in medical imaging.

The paper identifies a novel form of hereditary apoA-I amyloidosis caused by Glu34Lys mutation, revealing structural changes that lead to amyloid formation and vision loss.