Classification of Pulmonary CT Images by Using Hybrid 3D-Deep Convolutional Neural Network Architecture

Classification of Pulmonary CT Images by Using Hybrid 3D-Deep Convolutional Neural Network Architecture

Lung cancer is the most common cause of cancer-related deaths worldwide. Hence, the survival rate of patients can be increased by early diagnosis. Recently, machine learning methods on Computed Tomography (CT) images have been used in the diagnosis of lung cancer to accelerate the diagnosis process...

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Bibliographic Details
Main Authors: Huseyin Polat, Homay Danaei Mehr
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Applied Sciences
Subjects:
computed tomography
convolutional neural network
deep learning
lung cancer diagnosis
medical imaging
SVM classifier
Online Access:http://www.mdpi.com/2076-3417/9/5/940

Internet

http://www.mdpi.com/2076-3417/9/5/940

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