Automatic Classification of Lung Tumors Using KNN, SVM and CNN
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Publication date: 2018-07-16
Eurasian J Anal Chem 2018;13(2):emEJAC201815
A lung tumor classification system has been designed and developed. This work presents a new approach to the automated classification of lung tumors based on texture features, which separate lung tumor images from healthy tissues in computed tomography images. The feature image used for the tumor classification consists of computed tomography images. The application of the proposed method for tracking tumor is demonstrated to help pathologists distinguish its type of lung tumor. A classification with an accuracy of 89%, 97% and 98%, has been obtained by k-nearest neighbor, support vector machine and convolutional neural networks.