Artificial Intelligence-based Deep Learning Architecture for Tuberculosis Detection

Experimentation on six varied kinds of image enhancement applied to the publicly available TB image dataset along with data pre-processing and data augmentation finds sharpened images performed 0.8% better in metric evaluation, which gives better classification approach and predictability.