Types of Lung Cancer Detection Using Convolutional Neural Network (CNN) Matlab Project With Source Code

 ABSTRACT

             Lung cancer prevalence is one of the highest of cancers. One of the first steps in lung cancer diagnosis is sampling of lung images. This procedure is taken once imaging tests indicate the presence of cancer cells in the chest. Types of lung cancer diagnosis in lung images using Convolutional Neural Network (CNN). One of them is that doctor still relies on subjective visual observation. A medical specialist must do thorough observation and accurate analysis in detecting lung cancer in patients. Hence, there is need for a system that is capable for detecting lung cancer automatically from lung images. The aim of this project is to develop type of lung cancer detection system based on analysis of lung image using digital image processing. Lung images are classified for detecting types of lung cancer like Adenocarcinoma, Squamous Cell Carcinoma, Normal Lung and Large Cell Carcinoma using Convolutional Neural Network (CNN).

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Prof. Roshan P. Helonde

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