ecalabr/gliomarad
Predict tumor genetics using CNN and radiomics features
This tool helps radiologists and clinical researchers predict specific tumor genetics (like 1p/19q co-deletion or IDH mutation status) directly from medical images. It takes standard NIfTI MRI scans as input and outputs a prediction of genetic markers, aiding in diagnosis and treatment planning for glioma patients. It's designed for medical professionals involved in neuro-oncology.
No commits in the last 6 months.
Use this if you need to infer glioma tumor genetics from patient MRI scans using an automated system.
Not ideal if your image data is not in NIfTI format or doesn't follow a strict patient ID-based directory structure.
Stars
9
Forks
2
Language
Python
License
—
Category
Last pushed
Jan 05, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/ecalabr/gliomarad"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
MIDA-group/CytoBrowser
CytoBrowser, a JavaScript and Node.js driven environment for fast and accessible collaborative...
MohamedAliHabib/Brain-Tumor-Detection
Brain Tumor Detection Using Convolutional Neural Networks.
aksh-ai/neuralBlack
A Multi-Class Brain Tumor Classifier using Convolutional Neural Network with 99% Accuracy...
AI-in-Cardiovascular-Medicine/AIVUS-CAA
A graphical user interface for deep learning intravascular ultrasound and optical coherence...
rishavchanda/Brain-Tumor-Detection
Brain tumor detection and prediction using keras vgg-16