LesionLocator is a framework for zero-shot lesion segmentation and longitudinal tumor tracking in 3D full-body imaging.

Providing top-performing algorithms from the Brain Tumor Segmentation (BraTS) challenges.

Sturgeon is a CNS neural network classifier

a PyQt5 Implementation

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

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

Clinical oncology tumor board decision support system made by the Decider project.

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.

🐳 Dockerized WES pipeline for variants identification in mathced tumor-normal samples

Repository with models, experiments and approaches for the BraTS 2017 and iSeg segmentation challenges.

Automated meningioma segmentation

pediatric brain tumor segmentation models

Mouse nEoanTigen pRedictOr

Efficient Deep Learning-based Forward Solvers for Brain Tumor Growth Models

Warlock is a snakemake workflow to spawn multiple demons (deme-based oncology models) as jobs running around on a cluster environment 😈😈

🤗 neukit: web application for automatic brain extraction and preoperative tumor segmentation from MRI

A 3D Slicer Module that 1. uses ROBEX brain extraction to generate mesh.obj; 2. tumor label mask to mesh.obj

Open source code currently ready for submission, SAMRNet structure for brain tumor segmentation

GUNETR_pplus: Gradient enhanced UNETR_pplus with tumor segmentation