A Multiple Kernel Learning Algorithm for Cell Nucleus Classification of Renal Cell Carcinoma

Abstract

We consider a Multiple Kernel Learning (MKL) framework for nuclei classification in tissue microarray images of renal cell carcinoma. Several features are extracted from the automatically segmented nuclei and MKL is applied for classification. We compare our results with an incremental version of MKL, support vector machines with single kernel (SVM) and… (More)
DOI: 10.1007/978-3-642-24085-0_43

7 Figures and Tables

Topics

  • Presentations referencing similar topics