A Sparse Representation Based Method to Classify Pulmonary Patterns of Diffuse Lung Diseases
المؤلفون المشاركون
Kido, Shoji
Hirano, Yasushi
Zhao, Wei
Xu, Rui
Tachibana, Rie
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-03-03
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
We applied and optimized the sparse representation (SR) approaches in the computer-aided diagnosis (CAD) to classify normal tissues and five kinds of diffuse lung disease (DLD) patterns: consolidation, ground-glass opacity, honeycombing, emphysema, and nodule.
By using the K-SVD which is based on the singular value decomposition (SVD) and orthogonal matching pursuit (OMP), it can achieve a satisfied recognition rate, but too much time was spent in the experiment.
To reduce the runtime of the method, the K-Means algorithm was substituted for the K-SVD, and the OMP was simplified by searching the desired atoms at one time (OMP1).
We proposed three SR based methods for evaluation: SR1 (K-SVD+OMP), SR2 (K-Means+OMP), and SR3 (K-Means+OMP1).
1161 volumes of interest (VOIs) were used to optimize the parameters and train each method, and 1049 VOIs were adopted to evaluate the performances of the methods.
The SR based methods were powerful to recognize the DLD patterns (SR1: 96.1%, SR2: 95.6%, SR3: 96.4%) and significantly better than the baseline methods.
Furthermore, when the K-Means and OMP1 were applied, the runtime of the SR based methods can be reduced by 98.2% and 55.2%, respectively.
Therefore, we thought that the method using the K-Means and OMP1 (SR3) was efficient for the CAD of the DLDs.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zhao, Wei& Xu, Rui& Hirano, Yasushi& Tachibana, Rie& Kido, Shoji. 2015. A Sparse Representation Based Method to Classify Pulmonary Patterns of Diffuse Lung Diseases. Computational and Mathematical Methods in Medicine،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1057936
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zhao, Wei…[et al.]. A Sparse Representation Based Method to Classify Pulmonary Patterns of Diffuse Lung Diseases. Computational and Mathematical Methods in Medicine No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1057936
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zhao, Wei& Xu, Rui& Hirano, Yasushi& Tachibana, Rie& Kido, Shoji. A Sparse Representation Based Method to Classify Pulmonary Patterns of Diffuse Lung Diseases. Computational and Mathematical Methods in Medicine. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1057936
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1057936
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