@inproceedings{37dd1e20f23548fda1654d8ae3fe6d1b,
title = "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 voting. We demonstrate that MKL inherently combines information from different input spaces and creates statistically significantly more accurate classifiers than SVMs and voting for renal cell carcinoma detection.",
keywords = "MKL, SVM, renal cell carcinoma",
author = "Peter Sch{\"u}ffler and Aydin Ula{\c s} and Umberto Castellani and Vittorio Murino",
year = "2011",
doi = "10.1007/978-3-642-24085-0_43",
language = "English",
isbn = "9783642240843",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
number = "PART 1",
pages = "413--422",
booktitle = "Image Analysis and Processing, ICIAP 2011 - 16th International Conference, Proceedings",
edition = "PART 1",
note = "16th International Conference on Image Analysis and Processing, ICIAP 2011 ; Conference date: 14-09-2011 Through 16-09-2011",
}