Sturgeon is a CNS neural network classifier
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Updated
Jun 18, 2024 - Python
Sturgeon is a CNS neural network classifier
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
Mouse nEoanTigen pRedictOr
🤗 neukit: web application for automatic brain extraction and preoperative tumor segmentation from MRI
A visualisation tool for making a 3d head out of MRI brain scans
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.
Open source code currently ready for submission, SAMRNet structure for brain tumor segmentation
This project aims to model the disruptive effects of cytotoxic chemotherapeutic drugs on the immunoediting process.
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