Classification of Lung Poorly Differentiated Adenocarcinoma and Nonkeratinizing Type Squamous Cell Carcinoma Using Microscope Images

Abstract

This paper proposes a new method for classification of the lung poorly differentiated Adenocarcinoma and nonkeratinizing type Squamous Cell Carcinoma. It’s difficult to distinguish these two types of lung cancers. However, definite histopathological diagnosis is needed for the effective cancer treatment. Firstly, the cell nuclei are detected from the cytological images using a classifier trained by convolutional neural network (CNN). Second, the cell nuclei are distinguished using the classifier trained by SVM and CNN. We compared the experimental results of SVM and CNN. Experimental results show our proposed method can distinguish two types of the lung cancers well.