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Optimizing optimum-path forest classification for huge datasets
(2010-11-18)
Traditional pattern recognition techniques can not handle the classification of large datasets with both efficiency and effectiveness. In this context, the Optimum-Path Forest (OPF) classifier was recently introduced, ...
Optimizing optimum-path forest classification for huge datasets
(2010-11-18)
Traditional pattern recognition techniques can not handle the classification of large datasets with both efficiency and effectiveness. In this context, the Optimum-Path Forest (OPF) classifier was recently introduced, ...
Segmentation of neonatal brain magnetic resonance images
(CIMAT, 2016)
Segmentation of neonatal brain magnetic resonance images
(CIMAT, 2016)
A CRITICAL ANALYSIS OF THE METHODS OF EVALUATING MRI BRAIN SEGMENTATION ALGORITHMS
(IEEE, 2017)
Many papers are published every year containing new methodologies for brain tissue segmentation in magnetic resonance images. The evaluation of these methods is fundamental to understand their behavior and to observe their ...
Brain tissue MR-image segmentation via optimum-path forest clustering
(Academic Press Inc Elsevier ScienceSan DiegoEUA, 2012)
A new method for detecting brain fibrosis in microscopy images using the neurocysticercosis pig model
(Proceedings of SPIE - The International Society for Optical Engineering, 2020)