francismontalbo/fused-densenet-tiny
A novel approach in training a DenseNet model for diagnosing COVID-19 Chest X-Rays.
This project offers a computer-aided method to quickly and accurately diagnose COVID-19 from chest X-ray images. It takes a patient's chest X-ray as input and determines if COVID-19 is present. This tool is designed for medical professionals, especially those in regions where traditional PCR testing is scarce, to assist in rapid diagnostic screening.
No commits in the last 6 months.
Use this if you are a medical professional needing a fast, automated, and accurate way to screen for COVID-19 using chest X-rays, especially in resource-limited settings.
Not ideal if you require the gold-standard PCR test for confirmation or if you are not dealing with chest X-ray images for diagnosis.
Stars
30
Forks
5
Language
Jupyter Notebook
License
—
Category
Last pushed
Jun 06, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/francismontalbo/fused-densenet-tiny"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
mlmed/torchxrayvision
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and...
kaushikjadhav01/COVID-19-Detection-Flask-App-based-on-Chest-X-rays-and-CT-Scans
COVID-19 Detection Chest X-rays and CT scans: COVID-19 Detection based on Chest X-rays and CT...
NeelBhowmik/xray
List of datasets and papers in X-ray security images (Computer vision/Machine Learning)
priyavrat-misra/xrays-and-gradcam
Classification and Gradient-based Localization of Chest Radiographs using PyTorch.
jannisborn/covid19_ultrasound
Open source lung ultrasound (LUS) data collection initiative for COVID-19.