Support Vector Machines for Diagnosis of Breast Tumors on US Images
- 1 February 2003
- journal article
- Published by Elsevier in Academic Radiology
- Vol. 10 (2) , 189-197
- https://doi.org/10.1016/s1076-6332(03)80044-2
Abstract
No abstract availableKeywords
This publication has 19 references indexed in Scilit:
- Centroid neural network for unsupervised competitive learningIEEE Transactions on Neural Networks, 2000
- Support vector machines for histogram-based image classificationIEEE Transactions on Neural Networks, 1999
- Support vector machines for 3D object recognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1998
- A fuzzy logic based approach for semiological analysis of microcalcifications in mammographic imagesInternational Journal of Intelligent Systems, 1997
- Neural and fuzzy methods in handwriting recognitionComputer, 1997
- Classification of mass and normal breast tissue: a convolution neural network classifier with spatial domain and texture imagesIEEE Transactions on Medical Imaging, 1996
- Analysis of mammographic microcalcifications using gray-level image structure featuresIEEE Transactions on Medical Imaging, 1996
- An adaptive density-weighted contrast enhancement filter for mammographic breast mass detectionIEEE Transactions on Medical Imaging, 1996
- Solid breast nodules: use of sonography to distinguish between benign and malignant lesions.Radiology, 1995
- Use of non-Rayleigh statistics for the identification of tumors in ultrasonic B-scans of the breastIEEE Transactions on Medical Imaging, 1993