Repository with models, experiments and approaches for the BraTS 2017 and iSeg segmentation challenges.
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Updated
Mar 19, 2018 - Python
Repository with models, experiments and approaches for the BraTS 2017 and iSeg segmentation challenges.
A visualisation tool for making a 3d head out of MRI brain scans
This project aims to model the disruptive effects of cytotoxic chemotherapeutic drugs on the immunoediting process.
🐳 Dockerized WES pipeline for variants identification in mathced tumor-normal samples
Automated meningioma segmentation
This repository covers a brain scan tumor classification project for the University of Washington DATA 515 course. In our project we train a CNN to predict if a MRI scan (.jpg, .png, .jpeg) is tumorous or not.
Python code to estimate number of tumor cells and amount DNA, compensated for Tumor Induced Stroma
Extract and evaluate radiomics for liver cancer tumors from DICOM segmentation masks. Using SimpleITK, PyRadiomics and PyDicom.
Open source code currently ready for submission, SAMRNet structure for brain tumor segmentation
🤗 neukit: web application for automatic brain extraction and preoperative tumor segmentation from MRI
Code, data and model for Pérez-García et al. 2021, "A self-supervised learning strategy for postoperative brain cavity segmentation simulating resections"
3D Slicer plugin for automatic segmentation and generation of standardized clinical reports for the most common brain tumors, using MRI volumes
Warlock is a snakemake workflow to spawn multiple demons (deme-based oncology models) as jobs running around on a cluster environment 😈😈
Machine Learning Model to Skin Tumor Analysis and Classification.
Mouse nEoanTigen pRedictOr
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