Deep learning-based liver tissue image classification model that identifies 5 classes of liver conditions.
A deep learning model trained to classify liver tissue images into five categories: Angiosarcoma, Cholangiocarcinoma, Healthy, Hemangioma, and Hepatocellular Carcinoma. The project covers the full pipeline — preprocessing histopathology images, training a convolutional network with PyTorch, and evaluating performance across all five classes — as an exploration of applying computer vision to medical diagnostics.
Shakib Hossain Tahmid