Histopathology Classification with a Pathology Foundation Model

Overview

A personal project using a frozen pathology foundation-model encoder and a linear probe for tumor-vs-normal classification on PatchCamelyon histopathology patches — a focused exercise in applying foundation models and representation learning to digital pathology.

My role

Self-initiated learning project — solo work, from data setup through modeling and evaluation.

Methods & tools

Pretrained pathology foundation model as a frozen feature encoder; linear probe / lightweight classifier head; evaluation of learned representations for tumor-vs-normal classification. PatchCamelyon dataset; Python, PyTorch.

Outcome & output

A compact, reproducible demonstration of foundation-model transfer to digital pathology. Code coming soon on GitHub.