There are 1 repository under liver-cancer topic.
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.
Classification model for 1 year survival rates in patients with HCC (hepatocellular carcinoma).
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 convolutional neural networks (CNN) in the determination of cancerous tissues of the human liver. The training are performed on a 3D CT image dataset of the body segment containing the liver. We then run the results into a train model, on which experiments are performed with different test samples.
Data and analysis pipeline for a study on the potential advantages of daily adaptive liver SBRT performed at the University Hospital Zurich.
Playground for trying to predict liver cancer