Fast Segmentation of Ovarian Ultrasound Volumes Using Support Vector Machines and Sparse Learning Sets - researchr publication related

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Mitja Lenic, Boris Cigale, Bozidar Potocnik, Damjan Zazula. Fast Segmentation of Ovarian Ultrasound Volumes Using Support Vector Machines and Sparse Learning Sets. In George A. Tsihrintzis, Maria Virvou, Robert J. Howlett, Lakhmi C. Jain, editors, New Directions in Intelligent Interactive Multimedia. Volume 142 of Studies in Computational Intelligence, pages 95-105, Springer, 2008. [doi]

The following publications are possibly variants of this publication:

Segmentation of Ovarian Ultrasound Images Using Cellular Neural Networks Trained by Support Vector MachinesBoris Cigale, Mitja Lenic, Damjan Zazula. kes 2006: 515-522 [doi]

Segmentation of Ovarian Ultrasound Images Using Single Template Cellular Neural Networks Trained with Support Vector MachinesMitja Lenic, Damjan Zazula, Boris Cigale. cbms 2007: 205-212 [doi]

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