The chapter will focus on the use of machine learning techniques, such as Support Vector Machines (SVM), in CAD issues. First, an introduction of SVMs will be presented, with a particular attention to their use as classifiers. A brief theory preamble and a survey of advantages of SVMs over other classifiers will be provided. Finally, examples of mass and microcalcifications detection based on SVMs will be described and reviewed. Particular emphasis will be given to detection techniques which do not make use of extracted features for isolating the suspect regions.
R. Campanini, N. Lanconelli, M. Roffilli (2006). Support Vector Machines in CAD Mammography. BELLINGHAM (WA) : SPIE press.
Support Vector Machines in CAD Mammography
CAMPANINI, RENATO;LANCONELLI, NICO;ROFFILLI, MATTEO
2006
Abstract
The chapter will focus on the use of machine learning techniques, such as Support Vector Machines (SVM), in CAD issues. First, an introduction of SVMs will be presented, with a particular attention to their use as classifiers. A brief theory preamble and a survey of advantages of SVMs over other classifiers will be provided. Finally, examples of mass and microcalcifications detection based on SVMs will be described and reviewed. Particular emphasis will be given to detection techniques which do not make use of extracted features for isolating the suspect regions.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
