Intelligent diagnosis of breast cancer based on quantitative B-mode and elastography features

Chung Ming Lo, Ruey Feng Chang

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Early breast cancer diagnosis improves prognosis of patients. However, the reviewing of image ultrasound is operator-dependent. Computer-aided diagnosis (CAD) systems as the helper for radiologists were proposed to reduce oversight error and increase cancer diagnosis rate.

Original languageEnglish
Title of host publicationIntelligent Systems Reference Library
PublisherSpringer Science and Business Media Deutschland GmbH
Pages165-191
Number of pages27
DOIs
Publication statusPublished - Jan 1 2018

Publication series

NameIntelligent Systems Reference Library
Volume140
ISSN (Print)1868-4394
ISSN (Electronic)1868-4408

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ASJC Scopus subject areas

  • Computer Science(all)
  • Information Systems and Management
  • Library and Information Sciences

Cite this

Lo, C. M., & Chang, R. F. (2018). Intelligent diagnosis of breast cancer based on quantitative B-mode and elastography features. In Intelligent Systems Reference Library (pp. 165-191). (Intelligent Systems Reference Library; Vol. 140). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-319-68843-5_7