A Computer-Aided Pipeline for Automatic Lung Cancer Classification on Computed Tomography Scans
المؤلف
المصدر
Journal of Healthcare Engineering
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-11-01
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
Lung cancer is one of the most common cancer types.
For the survival of the patient, early detection of lung cancer with the best treatment method is crucial.
In this study, we propose a novel computer-aided pipeline on computed tomography (CT) scans for early diagnosis of lung cancer thanks to the classification of benign and malignant nodules.
The proposed pipeline is composed of four stages.
In preprocessing steps, CT images are enhanced, and lung volumes are extracted from the image with the help of a novel method called lung volume extraction method (LUVEM).
The significance of the proposed pipeline is using LUVEM for extracting lung region.
In nodule detection stage, candidate nodules are determined according to the circular Hough transform- (CHT-) based method.
Then, lung nodules are segmented with self-organizing maps (SOM).
In feature computation stage, intensity, shape, texture, energy, and combined features are used for feature extraction, and principal component analysis (PCA) is used for feature reduction step.
In the final stage, probabilistic neural network (PNN) classifies benign and malign nodules.
According to the experiments performed on our dataset, the proposed pipeline system can classify benign and malign nodules with 95.91% accuracy, 97.42% sensitivity, and 94.24% specificity.
Even in cases of small-sized nodules (3–10 mm), the proposed system can determine the nodule type with 94.68% accuracy.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Dandıl, Emre. 2018. A Computer-Aided Pipeline for Automatic Lung Cancer Classification on Computed Tomography Scans. Journal of Healthcare Engineering،Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1191399
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Dandıl, Emre. A Computer-Aided Pipeline for Automatic Lung Cancer Classification on Computed Tomography Scans. Journal of Healthcare Engineering No. 2018 (2018), pp.1-12.
https://search.emarefa.net/detail/BIM-1191399
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Dandıl, Emre. A Computer-Aided Pipeline for Automatic Lung Cancer Classification on Computed Tomography Scans. Journal of Healthcare Engineering. 2018. Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1191399
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1191399
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر