Comparative Analysis of Feature Extraction Methods for the Classification of Prostate Cancer from TRUS Medical Images
Diagnosing Prostate cancer is a challenging task for Urologists, Radiologists, and Oncologists. Ultrasound imaging is one of the hopeful techniques used for early detection of prostate cancer. The Region of interest (ROI) is identified by different methods after preprocessing. In this paper, DBSCAN clustering with morphological operators is used to extort the prostate region. The evaluation of texture features is important for several image processing applications. The performance of the features extracted from the various texture methods such as histogram, Gray Level Cooccurrence Matrix (GLCM), Gray-Level Run-Length Matrix (GRLM), are analyzed separately. In this paper, it is proposed to combine histogram, GLRLM and GLCM in order to study the performance. The Support Vector Machine (SVM) is adopted to classify the extracted features into benign or malignant. The performance of texture methods are evaluated using various statistical parameters such as sensitivity, specificity and accuracy. The comparative analysis has been performed over 5500 digitized TRUS images of prostate.
Keywords: GLCM, Histogram, GLRLM, DBSCAN, SVM.
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ABOUT THE AUTHORS
Manavalan Radhakrishnan
Manavalan Radhakrishnan obtained M.Sc., Computer Science from St. Joseph’s College of Bharathidasan University,Trichy, Tamilnadu, India, in the year 1999, and M.Phil., in Computer Science from Manonmaniam Sundaranar University, Thirunelveli, Tamilnadu, India in the year 2002. He works as Asst.Prof & Head, Department of Computer Science and Applications, KSR College of Arts and Science, Thiruchengode, Nammakal, Tamilnadu, India. He pursues Ph.D in Medical Image Processing. His areas of interest are Medical image processing and analysis, soft computing, pattern recognition and Theory of Computation.
Thangavel Kuttiannan
Thangavel Kuttiannan received the Master of Science from Department of Mathematics, Bharathidasan University in 1986, and Master of Computer Applications Degree from Madurai Kamaraj University, India in 2001. He obtained his Ph. D. Degree from the Department of Mathematics, Gandhigram Rural University in 1999. Currently he is working as Professor and Head, Department of Computer Science, Periyar University, Salem. His areas of interests includes medical image processing, artificial intelligence, neural network, fuzzy logic, data mining, pattern recognition and mobile computing
Manavalan Radhakrishnan
Manavalan Radhakrishnan obtained M.Sc., Computer Science from St. Joseph’s College of Bharathidasan University,Trichy, Tamilnadu, India, in the year 1999, and M.Phil., in Computer Science from Manonmaniam Sundaranar University, Thirunelveli, Tamilnadu, India in the year 2002. He works as Asst.Prof & Head, Department of Computer Science and Applications, KSR College of Arts and Science, Thiruchengode, Nammakal, Tamilnadu, India. He pursues Ph.D in Medical Image Processing. His areas of interest are Medical image processing and analysis, soft computing, pattern recognition and Theory of Computation.
Thangavel Kuttiannan
Thangavel Kuttiannan received the Master of Science from Department of Mathematics, Bharathidasan University in 1986, and Master of Computer Applications Degree from Madurai Kamaraj University, India in 2001. He obtained his Ph. D. Degree from the Department of Mathematics, Gandhigram Rural University in 1999. Currently he is working as Professor and Head, Department of Computer Science, Periyar University, Salem. His areas of interests includes medical image processing, artificial intelligence, neural network, fuzzy logic, data mining, pattern recognition and mobile computing
