原名「台灣學術線上」
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項次 書目
1
題名:Classification of Benign and Malignant Breast Tumors by Ultrasound B-scan and Nakagami-based Images     (12點)
著者:Yin-Yin LiaoPo-Hsiang TsuiChih-Kuang Yeh
出版地區:台灣
出版城市:台南市
學科:醫學綜合
關鍵字:Breast tumor classification ; Nakagami image ; Contour and scatterer characterization
刊名:Journal of Medical and Biological Engineering
卷期:30卷5期(2010.10)
頁碼:307-312
語言:英語
摘要: 英文摘要PDF

The B-scan shows the intensity of reflected echoes and is clever at a clear description of tumor contour to provide knowledge of morphology. Nakagami image reflects the statistical distribution of local backscattered signals, which is associated with the arrangements and concentrations of scatterers in tumors. In this study, we explored the clinical performance of combining B-scan-based tumor contour analysis and Nakagami-image-based tumor scatter characterization in classifying benign and malignant breast tumors. To confirm this concept, raw data obtained from 60 clinical cases were acquired. The B-scan images were used to calculate the standard deviation (SD) of the shortest distance for contour feature analysis. The Nakagami images were applied to estimate the average Nakagami parameters in the region of interests (ROI) in tumors. Overall, malignant tumors were highly irregular in tumor contour, whereas they had lower average Nakagami parameters in scatter characterization. The receiver operating characteristic (ROC) curve and fuzzy c-means (FCM) clustering were used to estimate the performances of combining two parameters in classifying tumors. The clinical results showed that there would be a tradeoff between the sensitivity and specificity when using a single parameter to differentiate benign and malignant tumors. The ROC analysis demonstrated that the SD of the shortest distance had a diagnostic accuracy of 81.7%, sensitivity of 76.7%, and specificity of 86.7%. The Nakagami parameter had a diagnostic accuracy of 80%, sensitivity of 86.7%, and specificity of 73.3%. However, the combination of the SD of the shortest distance and the Nakagami parameter concurrently allows both the sensitivity and specificity to exceed 80%, making the performance to diagnose breast tumors better.


    

本卷期目次
Journal of Medical and Biological Engineering 30卷5期 (2010.10)
Review: Tissue Engineering Technology to Enhance Cell Recruitment for Regeneration Therapy/ Hiroshi KoharaYasuhiko Tabata
Parameter Investigation of Detrended Fluctuation Analysis for Short-term Human Heart Rate Variability/ Rong-Guan YehGau-Yang ChenJiann-Shing ShiehCheng-Deng Kuo
Development of a Multi-scale Noise Reduction Algorithm for Cone-beam Micro-CT Using Fuzzy Logic-based Anisotropic Filter/ Zhi-Wei TangGuang-Shu Hu
A High-capacity Reversible Data-hiding Scheme for Medical Images/ Shu-Chien HuangMing-Shun Lin
Multivariable Fuzzy Logic/Self-organizing for Anesthesia Control/ Yuan-Chao ChouMaysam F. AbbodJiann-Shing ShiehChia-Yu Hsu
Classification of Benign and Malignant Breast Tumors by Ultrasound B-scan and Nakagami-based Images/ Yin-Yin LiaoPo-Hsiang TsuiChih-Kuang Yeh
Study on Mechanical Properties of Thrombomodulin-transfected Cancer Cells by Atomic Force Microscopy/ Chi-Chang LinTsung-I YinYi-Dong LinTung-I LinYing-Ting ChenJen-Fin LinHua-Lin WuHsien-Chang Chang
Feasibility Study of Noninvasive Tumor Treatment with Focused Ultrasound/ Khaldon LweesyLuay FraiwanMais Al-ShalabiLayali MohammadRazan Al-Oglah
The Use of Virtual Reality-based Dynamometer Training to Enhance Selective Joint Torque Control in a Child with Cerebral Palsy/ Imre CikajloZlatko Matjačić
 
   
 
   

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