Yashwanth-23/Pneumonia-detection-using-CNN
This project is done as part of the Machine Learning subject in our curriculum.
This project helps medical professionals quickly identify pneumonia from chest X-ray images. It takes a chest X-ray as input and determines whether pneumonia is present, helping doctors and radiologists make faster diagnostic decisions. This tool is designed for healthcare practitioners, particularly radiologists and general physicians, to aid in early and accurate diagnosis.
No commits in the last 6 months.
Use this if you are a medical professional seeking to rapidly screen chest X-rays for potential pneumonia cases to inform treatment.
Not ideal if you need a diagnostic tool that provides detailed disease localization or differentiates between types of pneumonia (bacterial, viral, fungal).
Stars
11
Forks
2
Language
Jupyter Notebook
License
—
Category
Last pushed
Jul 17, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Yashwanth-23/Pneumonia-detection-using-CNN"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
brucechou1983/CheXNet-Keras
This project is a tool to build CheXNet-like models, written in Keras.
jrzech/reproduce-chexnet
Reproduce CheXNet
dstrick17/DacNet
Reproducing and Improving CheXNet: Deep Learning for Chest X-ray Disease Classification
gregwchase/nih-chest-xray
Identifying diseases in chest X-rays using convolutional neural networks
rmcnew/Pneumonia_Classifier
Machine Learning Image Classification of Pediatric Chest X-Rays to Detect Pneumonia