@inproceedings{20aa308b51cd42d2bcfbd8d3ba8a7bac,
title = "Automated detection and diagnosis of Crohn's disease in CT enterography",
abstract = "Crohn's disease is an inflammatory bowel disease that has a variety of symptoms and that is increasing in prevalence. There is a need for diagnostic tools that would provide objective and reproducible measurements for guiding therapy. We developed a computer-assisted diagnosis (CAD) scheme for diagnosing mural enhancement and for detecting small-bowel obstructions of Crohn's disease in computed tomographic enterography (CTE). The scheme was evaluated on 69 patients. The values of quantitative features calculated by CAD were significantly different in the case of Crohn's disease than in normal patients. The per-patient detection sensitivity for obstructions was 93%. The results indicate that CAD can be used to provide radiologists with reliable automated quantitative interpretation of CTE data.",
keywords = "Crohn's disease, computer-aided detection, computer-assisted diagnosis, enterography, mural enhancement, small bowel, small intestine",
author = "N{\"a}ppi, {Janne J.} and Sahani, {Dushyant V.} and Fletcher, {Joel G.} and Hiroyuki Yoshida",
year = "2012",
month = mar,
day = "21",
doi = "10.1007/978-3-642-28557-8_11",
language = "English (US)",
isbn = "9783642285561",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "84--90",
booktitle = "Abdominal Imaging",
note = "3rd International Workshop on Computational and Clinical Applications in Abdominal Imaging, Held in Conjunction with the 14th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2011 ; Conference date: 18-09-2011 Through 18-09-2011",
}