KalyanM45/End-to-End-Chest-Disease-Classification
This repository offers a comprehensive solution for chest disease detection, covering data ingestion, preprocessing, model training, and CI/CD deployment pipelines. From raw data to automated deployment, streamline your chest disease detection process with our end-to-end solution.
This project offers an automated solution for quickly and accurately identifying various chest diseases from medical images. It takes raw imaging data as input and produces classifications of potential chest diseases, helping healthcare professionals and radiologists streamline their diagnostic workflow. This is designed for medical diagnosticians and radiologists who need to efficiently process and interpret a large volume of chest imaging data.
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Use this if you need an automated system to improve the speed and accuracy of detecting chest diseases from medical images, reducing reliance on manual interpretation.
Not ideal if you primarily need a tool for medical image annotation or complex research analysis that requires deep human-in-the-loop interaction for every diagnosis.
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Language
Python
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Last pushed
May 24, 2024
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