abstract

This paper looks on the abnormalities of the Brain and lung caused by Brain and lung tumors and the lung abnormalities caused by COVID-19. In the course of the lung inquiry, a technique for segmenting the infection from the 3D CT volumes and diagnosing and determining the severity of COVID-19 from 2D CT pictures are proposed. A method of classifying Brain and lung tumors from 2D MRI pictures and segmenting tumors and edema from 3D MRI volumes is proposed for the Brain and lung abnormalities. As a first-line method for detecting severity risks in COVID-19, the proposed approach has a wide range of applications in the medical industry. It can help medical personnel plan patient care and determine whether ICU facilities and ventilator support are necessary. In these uncertain times, a computer-aided system that can assist in creating a treatment plan for the massive influx of patients every day is undoubtedly going to be helpful.