Active learning based segmentation of Crohns disease from abdominal MRI

Abstract

This paper proposes a novel active learning (AL) framework, and combines it with semi supervised learning (SSL) for segmenting Crohns disease (CD) tissues from abdominal magnetic resonance (MR) images. Robust fully supervised learning (FSL) based classifiers require lots of labeled data of different disease severities. Obtaining such data is time consuming… (More)
DOI: 10.1016/j.cmpb.2016.01.014

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Cite this paper

@article{Mahapatra2016ActiveLB, title={Active learning based segmentation of Crohns disease from abdominal MRI}, author={Dwarikanath Mahapatra and Frans Vos and Joachim M. Buhmann}, journal={Computer methods and programs in biomedicine}, year={2016}, volume={128}, pages={75-85} }