M

model ensembling

An AI-driven pipeline for detecting and quantifying cancer and inflammatory tissue on biopsy slides to support standardized diagnostics. This independent fork focuses on advanced ensembling (SMP <-> nnU-Net), probability fusion, and Test-Time Augmentation (TTA), providing a highly reproducible training and inference workflow.