MohamedAliHabib/Brain-Tumor-Detection
Brain Tumor Detection Using Convolutional Neural Networks.
This project helps medical professionals or researchers quickly identify potential brain tumors from MRI images. You input brain MRI scans, and the system outputs a classification indicating whether a tumor is present, along with the confidence of that prediction. It is designed for use by radiologists, neurologists, or medical image analysts.
315 stars. No commits in the last 6 months.
Use this if you need an automated tool to assist in the initial screening of brain MRI images for tumor detection.
Not ideal if you require a diagnostic tool with perfect accuracy or for analyzing images with complex artifacts that deviate from standard MRI presentations.
Stars
315
Forks
195
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Jun 12, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/MohamedAliHabib/Brain-Tumor-Detection"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Compare
Related frameworks
MIDA-group/CytoBrowser
CytoBrowser, a JavaScript and Node.js driven environment for fast and accessible collaborative...
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
HalemoGPA/BrainMRI-Tumor-Classifier-Pytorch
A deep learning project using PyTorch to classify brain tumors from MRI images into categories...