wilhelmberghammer/pneumonia_detection
Pneumonia Detection using machine learning - with PyTorch
This project helps medical professionals quickly identify different types of pneumonia from chest X-ray images. You input a grayscale chest X-ray, and it outputs a classification indicating whether the patient has normal lungs, bacterial pneumonia, or viral pneumonia. This tool is designed for radiologists or general practitioners who need rapid preliminary diagnoses.
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Use this if you need a rapid, automated system to categorize chest X-ray images for signs of pneumonia, distinguishing between bacterial and viral forms.
Not ideal if you require a hosted solution or a model that can run efficiently on devices with limited computational resources, as the model is quite large.
Stars
13
Forks
2
Language
Python
License
MIT
Category
Last pushed
Jul 06, 2022
Commits (30d)
0
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