avneejoshi/Brain-Tumor-Detector
Brain Tumor Detection using CNN to classify MRI images into tumorous and non-tumorous categories. The model leverages VGG19 with custom layers, data augmentation, and optimizations to improve accuracy, aiming to assist in early and reliable diagnosis.
No commits in the last 6 months.
Stars
—
Forks
—
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Aug 23, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/avneejoshi/Brain-Tumor-Detector"
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