Computer-aidied diagnosis of solid breast nodules on ultrasound with digital image processing and artificial neural network

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50 Scopus citations

Abstract

A computer-aided diagnosis algorithm identifying breast nodule malignancy using multiple ultrasonography features and aritificial neural network classifier was developed from a database of 584 hitologically-confirmed cases containing 300 benign and 284 malignant breast nodules. The features were extracted from sonographic images through digital image processing. An artificial neural network then distinguished malignant nodules based on those features. The trained artificial neural network showed the normalized area under the receiver operating characteristic curve of 0.95.

Original languageEnglish
Pages (from-to)1397-1400
Number of pages4
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume26 II
StatePublished - 2004
EventConference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004 - San Francisco, CA, United States
Duration: 1 Sep 20045 Sep 2004

Keywords

  • Artificial neural network
  • Computer-aided diagnosis
  • Digital image processing

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