v-sundaresan/microbleed-detection
Detection of cerebral microbleeds using deep learning method consisting of 2 steps: initial candidate detection and candidate discrimination using a student-teacher network.
This tool helps radiologists and researchers automatically find and identify cerebral microbleeds (CMBs) in MRI scans. You input raw MRI images (FLAIR and T1), and it outputs a prediction of where CMBs are located. It's designed for medical professionals and researchers studying brain health and neurological conditions.
Use this if you need an automated, deep learning-based method to detect cerebral microbleeds from MRI images for clinical assessment or research.
Not ideal if you're looking for a general-purpose image analysis tool or if your primary interest isn't in neurological imaging.
Stars
11
Forks
6
Language
Python
License
—
Category
Last pushed
Mar 19, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/v-sundaresan/microbleed-detection"
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