A Computer-Aided Pipeline for Automatic Lung Cancer Classification on Computed Tomography Scans
Author
Source
Journal of Healthcare Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-11-01
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract 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.
American Psychological Association (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
Modern Language Association (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
American Medical Association (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
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1191399