@inproceedings{34e7c2556d1449068c810328d0d90d6a,
title = "Crohn's disease tissue segmentation from abdominal MRI using semantic information and graph cuts",
abstract = "We propose a graph cut based method to segment regions in abdominal magnetic resonance (MR) images affected with Crohn's disease (CD). Intensity, texture, curvature and context information are used with random forest (RF) classifiers to calculate probability maps for graph cut segmentation. The RF classifiers also provide semantic information used to design a novel smoothness cost. Experimental results on 26 real patient data shows our method accurately segments the diseased areas. Inclusion of semantic information significantly improves segmentation accuracy and its importance is reflected in quantitative measures and visual results.",
keywords = "Crohn Disease, MRI, Random forests, context, graph cut, semantic information",
author = "Dwarikanath Mahapatra and Schuffler, \{Peter J.\} and Tielbeek, \{Jeroen A.W.\} and Vos, \{Franciscus M.\} and Buhmann, \{Joachim M.\}",
year = "2013",
doi = "10.1109/ISBI.2013.6556486",
language = "English",
isbn = "9781467364546",
series = "Proceedings - International Symposium on Biomedical Imaging",
publisher = "IEEE Computer Society",
pages = "358--361",
booktitle = "ISBI 2013 - 2013 IEEE 10th International Symposium on Biomedical Imaging",
note = "10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013 ; Conference date: 07-04-2013 Through 11-04-2013",
}