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

Chung Ming Lo; Ruey Feng Chang

doi:10.1007/978-3-319-68843-5_7

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 proceeding › Chapter

2 Citations (Scopus)

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 language	English
Title of host publication	Intelligent Systems Reference Library
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	165-191
Number of pages	27
DOIs	https://doi.org/10.1007/978-3-319-68843-5_7
Publication status	Published - 2018

Publication series

Name	Intelligent Systems Reference Library
Volume	140
ISSN (Print)	1868-4394
ISSN (Electronic)	1868-4408

ASJC Scopus subject areas

General Computer Science
Information Systems and Management
Library and Information Sciences

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/978-3-319-68843-5_7

Cite this

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title = "Intelligent diagnosis of breast cancer based on quantitative B-mode and elastography features",

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.",

author = "Lo, {Chung Ming} and Chang, {Ruey Feng}",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2018.",

year = "2018",

doi = "10.1007/978-3-319-68843-5_7",

language = "English",

series = "Intelligent Systems Reference Library",

publisher = "Springer Science and Business Media Deutschland GmbH",

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AU - Chang, Ruey Feng

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M3 - Chapter

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PB - Springer Science and Business Media Deutschland GmbH

ER -

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

Abstract

Publication series

ASJC Scopus subject areas

UN SDGs

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