Diagnosis of breast tumors with ultrasonic texture analysis using support vector machines
Authors:
- 30 November 2005
- journal article
- Published by Springer Nature in Neural Computing and Applications
- Vol. 15 (2) , 164-169
Abstract
No abstract availableKeywords
This publication has 16 references indexed in Scilit:
- Image retrieval using bdip and bvlc momentsIEEE Transactions on Circuits and Systems for Video Technology, 2003
- Support vector machines for texture classificationIEEE Transactions on Pattern Analysis and Machine Intelligence, 2002
- Diagnosis of breast tumors with sonographic texture analysis using wavelet transform and neural networksUltrasound in Medicine & Biology, 2002
- Texture analysis of breast tumors on sonogramsSeminars in Ultrasound, CT and MRI, 2000
- An Introduction to Support Vector Machines and Other Kernel-based Learning Methods2000
- Breast cancer diagnosis using self-organizing map for sonographyUltrasound in Medicine & Biology, 2000
- Computer-aided Diagnosis Applied to US of Solid Breast Nodules by Using Neural NetworksRadiology, 1999
- Solid breast nodules: use of sonography to distinguish between benign and malignant lesions.Radiology, 1995
- Improving the Distinction between Benign and Malignant Breast Lesions: The Value of Sonographic Texture AnalysisUltrasonic Imaging, 1993
- The prevalence of carcinoma in palpable vs impalpable, mammographically detected lesions.American Journal of Roentgenology, 1991