A novel dense-net deep neural network with enhanced feature selection method for classification of different stages of tuberculosis using chest X-ray images

This system effectively categorizes tuberculosis into four distinct phases: normal, primary infection, latent infection, and active illness, which enhances the accuracy and reliability of TB diagnosis, demonstrating the superior performance of the approach compared to other methods currently in use.