Open AccessLung Cancer Detection in Radiology Images using CNN
Author(s) -
P Sheetal
Publication year - 2021
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2021.36886
Subject(s) - lung cancer , cancer , convolutional neural network , medicine , deep learning , lung , stage (stratigraphy) , cancer detection , radiology , disease , artificial intelligence , pathology , computer science , biology , paleontology
A risk factor is anything that increases chances of getting a disease, such as cancer. Thus diagnosing the cancer at the earliest stage is very important. Nowadays any cancer affects the human and may lead to death and lung cancer is one of its kind.to decrease the mortality rate and give a good treatment for the affected ones we need a better technique to diagnosis the lung cancer in initial stage itself. Early prediction of Lung Cancer will help with the survival of cancer patients. Machine Learning and Deep Learning have been widely used in the diagnosis of Lung Cancer and on the early detection. The main aim of the research is to review the role of deep learning in Lung Cancer detection and diagnosis. So we have used the convolutional neural network (CNN) which is a class of deep neural network which presents lung cancer detection using Radiology Images.