
Detection of Lung Cancer Disease using Machine Learning
Author(s) -
Amit Kore,
Saurabh Kandekar,
Anurag Yadav,
Shubham Ohol
Publication year - 2020
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.c6128.069520
Subject(s) - lung cancer , lung , disease , cancer , medicine , computer science , pathology
Cancer causes cell to split uncontrollably. Lung Cancer results in rapid cell growth and division of such infected cell, such growth of cells called tumor. Lung is the first organ where lung tumor begins and can spread to lymph nodes and so on. Early identification of lung cancer would facilitate in sparing a large no. of lives. If we compare death rates in any cancer then lung cancer has highest mortally rate. This article presents an automated web-based system for disease detection in lung using X-Ray images. To identify disease in lung in X-ray images, as it provides detailed picture and gives clear idea of lung in the body. For this project dataset of chest x-ray was taken from Kaggle. Using Mobile Net model we predicted the lung disease. Using this approach, we can early detect the disease present in lung which causes lung cancer