SartajBhuvaji/Brain-Tumor-Classification-Using-Deep-Learning-Algorithms
To Detect and Classify Brain Tumors using CNN and ANN as an asset of Deep Learning and to examine the position of the tumor.
Implements comparative benchmarking across ANN, CNN, and transfer learning (VGG16) architectures on 3,260 augmented MRI images to classify tumors into three categories (benign, malignant, pituitary), achieving 94% validation accuracy with VGG16. Leverages T1-weighted contrast-enhanced MRI data and includes a web interface alongside the core classification models. Integrates with Kaggle datasets and HuggingFace for dataset distribution, with extensible contribution framework for community-submitted architectures.
Stars
88
Forks
31
Language
Jupyter Notebook
License
—
Category
Last pushed
Nov 08, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/SartajBhuvaji/Brain-Tumor-Classification-Using-Deep-Learning-Algorithms"
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.
AI-in-Cardiovascular-Medicine/AIVUS-CAA
A graphical user interface for deep learning intravascular ultrasound and optical coherence...
aksh-ai/neuralBlack
A Multi-Class Brain Tumor Classifier using Convolutional Neural Network with 99% Accuracy...
rishavchanda/Brain-Tumor-Detection
Brain tumor detection and prediction using keras vgg-16