Cascaded classifier for large-scale data applied to automatic segmentation of articular cartilage

A Prasoon, C Igel, M Loog, F Lauze… - Medical Imaging …, 2012 - spiedigitallibrary.org
Many classification/segmentation tasks in medical imaging are particularly challenging for
machine learning algorithms because of the huge amount of training data required to cover …

Cascaded classifier for large-scale data applied to automatic segmentation of articular cartilage

A Prasoon, C Igel, M Loog, F Lauze… - Medical Imaging …, 2012 - ui.adsabs.harvard.edu
Many classification/segmentation tasks in medical imaging are particularly challenging for
machine learning algorithms because of the huge amount of training data required to cover …

[PDF][PDF] Cascaded Classifier for Large-scale Data Applied to Automatic Segmentation of Articular Cartilage

A Prasoona, C Igela, M Looga, F Lauzea, E Damc… - Proc. of SPIE Vol - iacl.ece.jhu.edu
Many classification/segmentation tasks in medical imaging are particularly challenging for
machine learning algorithms because of the huge amount of training data required to cover …

[引用][C] Cascaded classifier for large-scale data applied to automatic segmentation of articular cartilage

A Prasoon, C Igel, M Loog, F Lauze… - Proceedings of SPIE …, 2012 - research.tudelft.nl
Cascaded classifier for large-scale data applied to automatic segmentation of articular cartilage
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[PDF][PDF] Cascaded Classifier for Large-scale Data Applied to Automatic Segmentation of Articular Cartilage

A Prasoona, C Igela, M Looga, F Lauzea, E Damc… - researchgate.net
Many classification/segmentation tasks in medical imaging are particularly challenging for
machine learning algorithms because of the huge amount of training data required to cover …

Cascaded classifier for large-scale data applied to automatic segmentation of articular cartilage

A Prasoon, C Igel, M Loog, F Lauze, E Dam - Proc. of SPIE Vol - spiedigitallibrary.org
Many classification/segmentation tasks in medical imaging are particularly challenging for
machine learning algorithms because of the huge amount of training data required to cover …