Amir-Ebrahimi66/Pre-trained-3D-CNNs
Pre-trained 3D CNNs
This project provides pre-trained models that help medical researchers and practitioners analyze 3D medical images, like MRI scans, to identify patterns related to diseases such as Alzheimer's. You input 3D image data, and the model helps classify or detect features within those images. It's designed for clinical researchers or diagnostic specialists working with volumetric medical scans.
No commits in the last 6 months.
Use this if you need to quickly apply a deep learning model to analyze 3D medical image data, especially for disease detection or classification.
Not ideal if your primary focus is on developing entirely new deep learning architectures from scratch rather than leveraging existing pre-trained models.
Stars
8
Forks
—
Language
—
License
MIT
Category
Last pushed
Jun 30, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Amir-Ebrahimi66/Pre-trained-3D-CNNs"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
jrieke/cnn-interpretability
🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease
NYUMedML/CNN_design_for_AD
Code for "Generalizable deep learning model for early Alzheimer’s disease detection from structural MRIs"
aramis-lab/AD-DL
Classification of Alzheimer's disease status with convolutional neural networks.
Gersha2024/Alzheimer-MRI-Preprocessing-FreeSurfer-SliceSelection-DeepLearning-TransferLearning-EnsembleLearning
đź§ Detect Alzheimer's disease using MRI scans with transfer learning, deep learning, and ensemble...
shreyasgite/dementianet
A longitudinal spontaneous speech (machine learning audio) dataset for dementia diagnosis.