YuannongMao01/Improved-DenseNet-for-Brain-tumor-MRI
Implementation of enhanced DenseNet121 architecture integrated by dilated convolution and Squeeze-and-Excitation (SE) networks for brain tumor MRI classification, by Pytorch
Stars
2
Forks
1
Language
Python
License
—
Category
Last pushed
Jan 28, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/YuannongMao01/Improved-DenseNet-for-Brain-tumor-MRI"
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...
rishavchanda/Brain-Tumor-Detection
Brain tumor detection and prediction using keras vgg-16
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...