Detection of the Central Mass of Spiculated Lesions: Signature Normalisation and Model Data Aspects

Reyer Zwiggelaar, Christopher J. Taylor, Caroline M. E. Rubin

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)

3 Citations (Scopus)

Abstract

We describe a method for labelling image structure based on non-linear scale-orientation signatures which can be used as a basis for robust pixel classification. The effect of normalisation of the signatures is discussed as a means to improve classification robustness with respect to grey-level variations. In addition, model data selection and scale normalisation are investigated as a means to improve the robustness of detection with respect to the scale of structures.

Original languageEnglish
Title of host publication16th International Conference, IPMI'99, Visegrad, Hungary, June 28 - July 2, 1999, Proceedings
EditorsAttila Kuba, Martin Šáamal, Andrew Todd-Pokropek
PublisherSpringer Nature
Pages406-411
Number of pages6
ISBN (Electronic)978-3-540-48714-2
ISBN (Print)3540661670, 9783540661672
DOIs
Publication statusPublished - 16 Jun 1999
Externally publishedYes
EventProceedings of the 16th International Conference on Information Processing in Medical Imaging - Visegrad, Hungary
Duration: 28 Jun 199902 Jul 1999

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1613
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceProceedings of the 16th International Conference on Information Processing in Medical Imaging
Abbreviated titleIPMI'99
Country/TerritoryHungary
CityVisegrad
Period28 Jun 199902 Jul 1999

Keywords

  • probability image
  • basic signature
  • abnormal mammogram
  • false positive fraction
  • true positive fraction

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