@inproceedings{1c98cd99091441eb8552b094377f7b20,
title = "An information theoretic approach via IJM to segmenting MR images with MS lesions",
abstract = "Automated detection of brain pathologies from Magnetic Resonance (MR) images remains an outstanding problem. An information theoretic approach for automated segmentation of medical images called the Improved 'Jump' Method (IJM) has been recently developed and validated. Here we extend this work by utilizing IJM to segment human brain MR images with multiple-sclerosis (MS) lesions in order to probe IJM's limitations and versatility.",
keywords = "information theory, model order estimation, segmentation",
author = "Hill, {Jason E.} and Brian Nutter and Sunanda Mitra",
year = "2014",
doi = "10.1109/CBMS.2014.130",
language = "English",
isbn = "9781479944354",
series = "Proceedings - IEEE Symposium on Computer-Based Medical Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "189--192",
booktitle = "Proceedings - 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, CBMS 2014",
note = "27th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2014 ; Conference date: 27-05-2014 Through 29-05-2014",
}