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COVID-19 Detection via Chest X-Ray AI by sudeenajaffer2003 is a document available to read on EtoBox.

The document outlines a project that utilizes deep learning models in R to detect COVID-19 from chest X-ray images, aiming to enhance rapid and accurate clinical screening. It evaluates various models, with DenseNet121 achieving the highest accuracy, and emphasizes the importance of image preprocessing and augmentation for robust performance. Future enhancements include expanding the dataset and integrating the system into clinical workflows for real-time diagnosis.

Author
sudeenajaffer2003
Language
EN