Awesome artificial intelligence in cancer diagnostics and oncology

Extract and evaluate radiomics for liver cancer tumors from DICOM segmentation masks. Using SimpleITK, PyRadiomics and PyDicom.

CirrMRI600+: Large Scale MRI Collection and Segmentation of Cirrhotic Liver

Classification model for 1 year survival rates in patients with HCC (hepatocellular carcinoma).

Data and analysis pipeline for a study on the potential advantages of daily adaptive liver SBRT performed at the University Hospital Zurich.

Liver cancer is one of the most dangerous diseases and is one of causes leading of death. The application of science and technology in the diagnosis and identification of cancerous tissues of the liver plays a very important role. This assists the doctor in planning and treating the patient. In this paper, we study the application of convolution…

Playground for trying to predict liver cancer

Official Repository for the MELBA paper entitled "Dimensionality Reduction and Nearest Neighbors for Improving Out-of-Distribution Detection in Medical Image Segmentation".