Depth Wise Convolution on Chest X-Ray & Comparative Analysis With Transfer Learning

Abstract

Medical Image Segmentation has an imperative job in diagnostic systems on various applications. Ultrasounds, X-rays, MRI, CAT and PET (Positron Emission Tomography) are dynamic and developing domains for research especially in image-processing techniques and algorithms. This field has also attracted significant investments and developments in recent times. Deep Learning models, specifically the Convolutional Neural Network Models (CNN) are state-of-art technologies for identifying medical ailments through visual imagery. The objective of this research is to develop and implement a DepthWise Convolution model that provides high accuracy in detecting Covid 19 Pneumonia from lung x-rays. We also juxtapose it with other models which have great accuracy i.e Transfer Learning Models.