About this document

CNN for COVID-19 X-Ray Detection by Igt Suryawan is a document available to read on EtoBox.

The document discusses using convolutional neural networks (CNNs) to detect SARS-CoV-2 from chest x-ray images. Specifically, it proposes a simple CNN model trained on publicly available x-ray image datasets to distinguish between normal lung images and those with signs of COVID-19 infection. The document also compares the performance of the CNN model when applied to preprocessed images with denoising techniques versus raw images, finding that mean denoising improved accuracy slightly. The goal is to help e

Author

Igt Suryawan

Language

EN