An Automated System for the Detection and Diagnosis of Kidney Lesions in Children from Scintigraphy Images

Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2011

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Designing a system for computer aided diagnosis is a complex procedure requiring an understanding of the biology of the disease, insight into hospital workflow and awareness of available technical solutions. This paper aims to show that a valuable system can be designed for diagnosing kidney lesions in children and adolescents from 99mTc- DMSA scintigraphy images. We present the chain of analysis and provide a discussion of its performance. On a per-lesion basis, the classification reached an ROC-curve area of 0.96 (sensitivity/specificity e.g. 97%/85%) measured using an independent test group consisting of 56 patients with 730 candidate lesions. We conclude that the presented system for diagnostic support has the potential of increasing the quality of care regarding this type of examination.
Original languageEnglish
Title of host publicationImage Analysis : 17th Scandinavian Conference, SCIA 2011 - Ystad, Sweden, May 2011 - Proceedings
PublisherSpringer
Publication date2011
Pages489-500
ISBN (print)978-3-642-21226-0
DOIs
StatePublished

Conference

Conference17th Scandinavian Conference on Image Analysis (SCIA)
CountrySweden
CityYstad
Period23/05/1127/05/11
Internet addresshttp://www.maths.lth.se/vision/scia2011/
NameLecture Notes in Computer Science
Number6688
ISSN (Print)0302-9743
CitationsWeb of Science® Times Cited: No match on DOI

Keywords

  • Active Shape Models, Nuclear Imaging, Artificial Neural Networks, Computer Aided Diagnosis
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