Representing pathology image features in complementary geometric spaces (hyperbolic + Euclidean) with efficient sequence modeling enables more accurate whole-slide image analysis by capturing both tissue hierarchy and cellular details.
This paper presents BatMIL, a new approach for analyzing whole-slide images (gigapixel pathology scans) by representing tissue features in dual geometric spaces—hyperbolic for hierarchical structures and Euclidean for local details.