iamsuvhro/Chest-Pneumonia-Detection-using-Deep-Learning-Various-Architecture

In this repository,i will apply a bunch of various Neural Network Architectures from Scratch on the Chest pneumonia dataset and see how each of them behaves with respect to one another.

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This project helps medical professionals quickly identify pneumonia in patients by analyzing chest X-ray images. You input a patient's chest X-ray, and the system outputs a prediction indicating whether pneumonia is present or not. This tool is designed for radiologists, general practitioners, or other healthcare providers who need rapid assistance in diagnosing pneumonia.

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Use this if you are a medical professional looking for an automated system to assist in the rapid detection of pneumonia from chest X-ray images.

Not ideal if you are looking for a definitive diagnostic tool that replaces expert medical interpretation, as this is an assistive technology.

radiology pneumonia-diagnosis medical-imaging diagnostic-support pediatric-care
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 17 / 25

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8

Language

Jupyter Notebook

License

MIT

Last pushed

Mar 19, 2023

Commits (30d)

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