International Conference on Computer and Knowledge Engineering

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Using Deep Learning for Classification of Lung Cancer on CT Images in Ardabil Province

Authors :

Mohammad Ali Javadzadeh Barzaki¹ Jafar Abdollahi² Mohammad Negaresh³ Maryam Salimi⁴ Hadi Zolfeghari⁵ Mohsen Mohammadi⁶ Asma Salmani⁷ Rona Jannati⁸ Firouz Amani⁹

1- Deputy of Research and Technology, Ardabil University of Medical Sciences Ardabil, Iran 2- Department of Computer Engineering, Ardabil Branch, Islamic Azad University, Ardabil, Iran 3- Department of Internal Medicine, School of Medicine, Ardabil University of Medical Sciences, Ardabil, Iran 4- Department of Internal Medicine, School of Medicine, Ardabil University of Medical Sciences, Ardabil, Iran 5- Department of Community Medicine, Faculty of Medicine, Ardabil University of Medical Science, Ardabil, Iran 6- Department of Internal Medicine, School of Medicine, Ardabil University of Medical Sciences, Ardabil, Iran 7- Department of Internal Medicine, School of Medicine, Ardabil University of Medical Sciences, Ardabil, Iran 8- Department of Internal Medicine, School of Medicine, Ardabil University of Medical Sciences, Ardabil, Iran 9- Department of Community Medicine, Faculty of Medicine, Ardabil University of Medical Science, Ardabil, Iran

Keywords :

Deep learning،Lung cancer،Classification،Xception

Abstract :

In the past, doctors had to physically locate the region they thought could have lung cancer. Several studies have shown that manual segmentation is time-consuming and dependent on the operator and instrument. To aid healthcare providers in making an early diagnosis of lung cancer, an algorithm known as the XCEPTION Based Classification for Lung Cancer (XCEPTION) has been created. XCEPTION enhances the categorization of lung cancer lesions by using a neural network to assist doctors in diagnosing lung cancer. Medical pictures of lung cancer in malignant, benign, and healthy people may all be classified by XCEPTION. Each and every ethical guideline has been followed while doing research for this study. This approach uses a convolutional neural network to categorize lung cancer in order to help medical practitioners identify lung cancer lesions. With precision and sensitivity, XCEPTION can identify incoming medical photos as belonging to cancer patients or healthy people.