harshwalia36/Segmentation_and_classification_of_Covid-19-lungs-CT-Scan
Deep Learning Project which help us to identify a Person is Covid or non-Covid and Segment the Infection in the Lungs.
This project helps medical professionals analyze CT scans to detect and segment COVID-19 infections in lungs. You input chest CT scan images, and it outputs whether the patient is COVID-positive or negative, and precisely highlights the infected areas within the lungs. Radiologists, pulmonologists, and other clinicians dealing with respiratory diseases can use this tool to assist in diagnosis.
No commits in the last 6 months.
Use this if you need an automated tool to quickly classify COVID-19 status from CT scans and visualize the exact regions of infection.
Not ideal if you require real-time, instantaneous analysis in an emergency setting or integration with existing hospital PACS without custom development.
Stars
8
Forks
3
Language
Jupyter Notebook
License
—
Category
Last pushed
Mar 24, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/harshwalia36/Segmentation_and_classification_of_Covid-19-lungs-CT-Scan"
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...
ieee8023/covid-chestxray-dataset
We are building an open database of COVID-19 cases with chest X-ray or CT images.
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.