Using VGG۱۶ Algorithms for classification of lung cancer in CT scans Image
سال انتشار: 1402
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 126
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شناسه ملی سند علمی:
EITCONF02_023
تاریخ نمایه سازی: 3 مهر 1402
چکیده مقاله:
Lung cancer is that the leading reason behind cancer-related deaths within the world. Early detection of lung nodules is vital for increasing the survival rate of cancer patients. Traditionally, physicians should manually identify the world suspected of getting carcinoma. When developing these detection systems, the arbitrariness of lung nodules' shape, size, and texture could be a challenge. Many studies showed the applied of computer vision algorithms to accurate diagnosis and classification of lung nodules. A deep learning algorithm called the VGG۱۶ was developed during this paper to help medical professionals diagnose and classify carcinoma nodules. VGG۱۶ can classify medical images of carcinoma in malignant, benign, and healthy patients. This paper showed that nodule detection using this single neural network had ۹۲.۰۸% sensitivity, ۹۱% accuracy, and an AUC of ۹۳%.
کلیدواژه ها:
نویسندگان
hasan hejbari zargar
Islamic Azad University of Ardabil, Ardabil, Iran
saha hejbari zargar
Deputy of Research and Technology, Ardabil University of Medical Sciences, Ardabil, Iran Department of Community Medicine, Faculty of Medicine, Ardabil University of Medical Science, Ardabil, Iran
raziye mehri
Deputy of Research and Technology, Ardabil University of Medical Sciences, Ardabil, Iran Department of Community Medicine, Faculty of Medicine, Ardabil University of Medical Science, Ardabil, Iran
farzane tajdini
Tabarestan University of Chalus, Chalus, Iran