Detection of Lung Cancer Disease using Machine Learning 
Amit Kore1, Saurabh Kandekar2, Anurag Yadav3, Shubham Ohol4
1Amit Kore*, Assistant Professor, Department of Information Technology AISSMS IOIT SP Pune University Sangamvadi, Pune , India.
2Saurabh Kandekar, Department of Information Technology AISSMS IOIT SP Pune University Sangamvadi, Pune, India.
3Anurag Yadav, Department of Information Technology AISSMS IOIT SP Pune University Sangamvadi, Pune, India.
4Shubham Ohol, Department of Information Technology AISSMS IOIT SP Pune University Sangamvadi, Pune, India.
Manuscript received on May 30, 2020. | Revised Manuscript received on June 08, 2020. | Manuscript published on June 30, 2020. | PP: 810-812 | Volume-9 Issue-5, June 2020. | Retrieval Number: C6128029320/2020©BEIESP | DOI: 10.35940/ijeat.C6128.069520
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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 webbased 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.
Keywords: X-Ray, lung cancer, Mobile Net model, Images.