• Rachit Sardar
• Yash Badodekar
• Abhijeet Shimple
• Shivam Raj
• Prof. P. S. Gawali

Identification of lung disease is the most fascinating exploration zone of analyst's in early days. The proposed framework is intended to identify lung malignancy in untimely stage in two phases. The proposed framework comprises of numerous means, for example, image extraction, pre-processing, binarization, thresholding, Division, highlight extraction, and neural system identification. In our system we developed Lung Cancer detection system based on machine learning and neural network. It decreases the chances of getting harm to human by early detection of cancer. Presently a few frameworks are proposed and still a large number of them are theoretical plan. Convolutional Neural Network based Classification and location arrangement of lung tumour.

Convolutional Neural Network, Computed Tomography, Support Vector Machine, and Small Cell Lung Cancer.

"Interpretation of Lung cancer using Inception based Google Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 5, page no.b489-b495, May-2022, Available :http://www.jetir.org/papers/JETIR2205167.pdf

"Interpretation of Lung cancer using Inception based Google Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 5, page no. ppb489-b495, May-2022, Available at : http://www.jetir.org/papers/JETIR2205167.pdf