Convolutional capsnet: A novel artificial neural network approach to detect COVID-19 disease from X-ray images using capsule networks
Convolutional capsnet: A novel artificial neural network approach to detect COVID-19 disease from X-ray images using capsule networks
S. Toraman,T. B. Alakuş,Ibrahim Turkoglu
TLDR
In this study, unlike CNN architectures, COVID-19 was determined from chest X-ray images with a smaller number of layers, and even the image size has been reduced to 128 × 128 pixels.
Abstract
Highlights • In this study, unlike CNN architectures, COVID-19 was determined from chest X-ray images with a smaller number of layers.• More COVID-19, pneumonia, and no-findings images were used than in previous studies. This increases the reliability of the system more.• As is known, reducing the size of the image may cause some information in the image to be lost. Given these facts, good classification accuracy has been achieved with capsule networks, even the image size has been reduced to 128 × 128 pixels.