TY - GEN
T1 - Classification of benign and malignant bone lesions on CT imagesusing support vector machine
T2 - 1st IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology, RTEICT 2016
AU - Suhas, M. V.
AU - Kumar, Rishav
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/1/5
Y1 - 2017/1/5
N2 - Skeletal metastasis has tendency to develop from any kind of primary tumor. In the spine, the vertebral body is the most common site of metastasis which then extends to pedicle. About 2/3rd of the malignant tumor cases are found to develop metastasis. This work presents a Computer Aided Diagnosis (CAD) system that helps radiologists in differentiating malignant and benign bone lesions in the spine on Computed Tomography (CT) images usingSupport Vector Machines(SVM).The CT images are segmented using Snakes or Active Contour Model to retrieve the Region of Interest(ROI). From the segmented images, Haralick features are calculated. These features are then passed to the SVM classifier. With the help of SVM model generated, the data are classified into benign and malignant nodules. The performances of different kernel functions are compared.
AB - Skeletal metastasis has tendency to develop from any kind of primary tumor. In the spine, the vertebral body is the most common site of metastasis which then extends to pedicle. About 2/3rd of the malignant tumor cases are found to develop metastasis. This work presents a Computer Aided Diagnosis (CAD) system that helps radiologists in differentiating malignant and benign bone lesions in the spine on Computed Tomography (CT) images usingSupport Vector Machines(SVM).The CT images are segmented using Snakes or Active Contour Model to retrieve the Region of Interest(ROI). From the segmented images, Haralick features are calculated. These features are then passed to the SVM classifier. With the help of SVM model generated, the data are classified into benign and malignant nodules. The performances of different kernel functions are compared.
UR - https://www.scopus.com/pages/publications/85015024371
UR - https://www.scopus.com/pages/publications/85015024371#tab=citedBy
U2 - 10.1109/RTEICT.2016.7807941
DO - 10.1109/RTEICT.2016.7807941
M3 - Conference contribution
AN - SCOPUS:85015024371
T3 - 2016 IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology, RTEICT 2016 - Proceedings
SP - 821
EP - 824
BT - 2016 IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology, RTEICT 2016 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 20 May 2016 through 21 May 2016
ER -