EMPLOYABILITY OF DEEP LEARNING TOOLS AND TECHNIQUES IN THE EARLY DETECTION AND DIAGNOSIS OF LUNG CANCER

Abstract

These researchers assume that the mortality rate of individuals because of lung breakdown. One of the significant causes is smoking cigarettes, which have cancer-causing agents that harm the cells that streak the lungs. Early conclusion and treatment of the infection is an imperative way to deal with beating this disease. The proposed paper explores various perspectives on determining the carcinogenic lung module through research reviews. It intends to present a graphical processing unit (GPU) for the sped-up continuous discovery of cellular research in the lungs utilizing deep learning come closer from x-ray, CT-scan and bronchoscopy images.