Using Convolutional Neural Network to Enhance Classification Accuracy of Cancerous Lung Masses from CT Scan Images
- سال انتشار: 1402
- محل انتشار: مجله هوش مصنوعی و داده کاوی، دوره: 11، شماره: 4
- کد COI اختصاصی: JR_JADM-11-4_005
- زبان مقاله: انگلیسی
- تعداد مشاهده: 203
نویسندگان
Ershad Damavand Institute of Higher Education, Tehran, Iran.
Ershad Damavand Institute of Higher Education, Tehran, Iran.
Amirkabir University of Technology, Tehran, Iran.
E-Content & E-Services Research Group, IT Research Faculty, ICT Research Institute, Karegar, Tehran, ۱۴۱۵۵-۳۹۶۱, Tehran, Iran.
چکیده
Lung cancer is a highly serious illness, and detecting cancer cells early significantly enhances patients' chances of recovery. Doctors regularly examine a large number of CT scan images, which can lead to fatigue and errors. Therefore, there is a need to create a tool that can automatically detect and classify lung nodules in their early stages. Computer-aided diagnosis systems, often employing image processing and machine learning techniques, assist radiologists in identifying and categorizing these nodules. Previous studies have often used complex models or pre-trained networks that demand significant computational power and a long time to execute. Our goal is to achieve accurate diagnosis without the need for extensive computational resources. We introduce a simple convolutional neural network with only two convolution layers, capable of accurately classifying nodules without requiring advanced computing capabilities. We conducted training and validation on two datasets, LIDC-IDRI and LUNA۱۶, achieving impressive accuracies of ۹۹.۷% and ۹۷.۵۲%, respectively. These results demonstrate the superior accuracy of our proposed model compared to state-of-the-art research papers.کلیدواژه ها
Lung cancer, deep learning, LIDC-IDRI, LUNA۱۶, Rotatedاطلاعات بیشتر در مورد COI
COI مخفف عبارت CIVILICA Object Identifier به معنی شناسه سیویلیکا برای اسناد است. COI کدی است که مطابق محل انتشار، به مقالات کنفرانسها و ژورنالهای داخل کشور به هنگام نمایه سازی بر روی پایگاه استنادی سیویلیکا اختصاص می یابد.
کد COI به مفهوم کد ملی اسناد نمایه شده در سیویلیکا است و کدی یکتا و ثابت است و به همین دلیل همواره قابلیت استناد و پیگیری دارد.