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

Matilda Landgren, Karl Sjöstrand, Mattias Ohlsson, Daniel Ståhl, Niels Christian Overgaard, Karl Åström, Rune Sixt, Lars Edenbrandt

Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKonferenspaper i proceedingPeer review

7 Citeringar (SciVal)

Sammanfattning

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 99m Tc-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.
Originalspråkengelska
Titel på värdpublikationLecture Notes in Computer Science
RedaktörerAnders Heyden, Fredrik Kahl
FörlagSpringer
Sidor489-500
Antal sidor12
Volym6688
ISBN (tryckt)978-3-642-21227-7 (online), 978-3-642-21226-0 (print)
DOI
StatusPublished - 2011
Evenemang17th Scandinavian Conference on Image Analysis (SCIA 2011) - Ystad, Sverige
Varaktighet: 2011 maj 232011 maj 27

Publikationsserier

Namn
Volym6688
ISSN (tryckt)1611-3349
ISSN (elektroniskt)0302-9743

Konferens

Konferens17th Scandinavian Conference on Image Analysis (SCIA 2011)
Land/TerritoriumSverige
OrtYstad
Period2011/05/232011/05/27

Ämnesklassifikation (UKÄ)

  • Matematik
  • Datorseende och robotik (autonoma system)

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