Detection of clustered microcalcifications in mammograms based on wavelet transformation and graphics theory

Hao Gong; Yu Hui Wang

Detection of clustered microcalcifications in mammograms based on wavelet transformation and graphics theory

Hao Gong^*
, Yu Hui Wang

^*Corresponding author for this work

School of Mechanical Engineering and Automation

Beihang University

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

Clustered microcalcifications is one of the main features of breast cancer. Whether there are clustered microcalcifications in mammograms should be estimated during computer-aided diagnosis. Image of mammograms are enhanced by Daubechies wavelet. Thresholding is implemented by 2D entropy method. Clustered microcalcifications are detected with method of graphics theory. These make it possible for doctors to diagnose malignant calcifications.

Original language	English
Pages (from-to)	769-771
Number of pages	3
Journal	Guangxue Jishu/Optical Technique
Volume	33
Issue number	5
State	Published - Sep 2007

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords

Breast cancer
CAD
Clustered microcalcifications
Graphics theory
Wavelet transformation

Cite this

@article{c639cc71074c4a008a3fee514ef09059,

title = "Detection of clustered microcalcifications in mammograms based on wavelet transformation and graphics theory",

abstract = "Clustered microcalcifications is one of the main features of breast cancer. Whether there are clustered microcalcifications in mammograms should be estimated during computer-aided diagnosis. Image of mammograms are enhanced by Daubechies wavelet. Thresholding is implemented by 2D entropy method. Clustered microcalcifications are detected with method of graphics theory. These make it possible for doctors to diagnose malignant calcifications.",

keywords = "Breast cancer, CAD, Clustered microcalcifications, Graphics theory, Wavelet transformation",

author = "Hao Gong and Wang, \{Yu Hui\}",

year = "2007",

month = sep,

language = "英语",

volume = "33",

pages = "769--771",

journal = "Guangxue Jishu/Optical Technique",

issn = "1002-1582",

publisher = "Optical Technique",

number = "5",

}

TY - JOUR

T1 - Detection of clustered microcalcifications in mammograms based on wavelet transformation and graphics theory

AU - Gong, Hao

AU - Wang, Yu Hui

PY - 2007/9

Y1 - 2007/9

N2 - Clustered microcalcifications is one of the main features of breast cancer. Whether there are clustered microcalcifications in mammograms should be estimated during computer-aided diagnosis. Image of mammograms are enhanced by Daubechies wavelet. Thresholding is implemented by 2D entropy method. Clustered microcalcifications are detected with method of graphics theory. These make it possible for doctors to diagnose malignant calcifications.

AB - Clustered microcalcifications is one of the main features of breast cancer. Whether there are clustered microcalcifications in mammograms should be estimated during computer-aided diagnosis. Image of mammograms are enhanced by Daubechies wavelet. Thresholding is implemented by 2D entropy method. Clustered microcalcifications are detected with method of graphics theory. These make it possible for doctors to diagnose malignant calcifications.

KW - Breast cancer

KW - CAD

KW - Clustered microcalcifications

KW - Graphics theory

KW - Wavelet transformation

UR - https://www.scopus.com/pages/publications/35548931190

M3 - 文章

AN - SCOPUS:35548931190

SN - 1002-1582

VL - 33

SP - 769

EP - 771

JO - Guangxue Jishu/Optical Technique

JF - Guangxue Jishu/Optical Technique

IS - 5

ER -

Detection of clustered microcalcifications in mammograms based on wavelet transformation and graphics theory

Abstract

UN SDGs

Keywords

Other files and links

Fingerprint

Cite this