Mammographic feature enhancement by computerized image processing

Atam P. Dhawan; Eric Le Royer

doi:10.1016/0169-2607(88)90100-9

Mammographic feature enhancement by computerized image processing

Atam P. Dhawan, Eric Le Royer

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

69 Scopus citations

Abstract

Mammographic detection of early breast cancer from X-ray film mammograms requires optimal radiological or image processing techniques. We present an image processing approach based on feature adaptive neighborhood processing with a tunable contrast-enhancement function to enhance mammographic features. This procedure brings out the features in the image with little or no enhancement of the noise. Results show that the proposed technique is intelligently tunable to the requirements of enhancement of specific mammographic features such as microcalcifications, soft-tissue characteristics, etc.

Original language	English (US)
Pages (from-to)	23-35
Number of pages	13
Journal	Computer Methods and Programs in Biomedicine
Volume	27
Issue number	1
DOIs	https://doi.org/10.1016/0169-2607(88)90100-9
State	Published - 1988
Externally published	Yes

All Science Journal Classification (ASJC) codes

Software
Computer Science Applications
Health Informatics

Keywords

Adaptive neighborhood processing
Contrast enhancement
Image processing
Mammographic feature enhancement
Mammography

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10.1016/0169-2607(88)90100-9

Cite this

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title = "Mammographic feature enhancement by computerized image processing",

abstract = "Mammographic detection of early breast cancer from X-ray film mammograms requires optimal radiological or image processing techniques. We present an image processing approach based on feature adaptive neighborhood processing with a tunable contrast-enhancement function to enhance mammographic features. This procedure brings out the features in the image with little or no enhancement of the noise. Results show that the proposed technique is intelligently tunable to the requirements of enhancement of specific mammographic features such as microcalcifications, soft-tissue characteristics, etc.",

keywords = "Adaptive neighborhood processing, Contrast enhancement, Image processing, Mammographic feature enhancement, Mammography",

author = "Dhawan, {Atam P.} and Royer, {Eric Le}",

note = "Funding Information: This work was supported by a grant from the Texas Advanced Technology and Research Program (TATRP). We thank Dr. A.B. Miller, National Director of the Canadian National Breast Screening Study Project for providing a number of study mammograms and for taking special interest in this work. Thanks are also due to Dr. Richard Gordon for his valuable comments at several occasions. We are extremely grateful to Dr. A.N. Watson for his expert evaluation of mammographic images before and after feature enhance- ment. His critical comments have been extremely valuable in this work.",

year = "1988",

doi = "10.1016/0169-2607(88)90100-9",

language = "English (US)",

volume = "27",

pages = "23--35",

journal = "Computer Methods and Programs in Biomedicine",

issn = "0169-2607",

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T1 - Mammographic feature enhancement by computerized image processing

AU - Dhawan, Atam P.

AU - Royer, Eric Le

N1 - Funding Information: This work was supported by a grant from the Texas Advanced Technology and Research Program (TATRP). We thank Dr. A.B. Miller, National Director of the Canadian National Breast Screening Study Project for providing a number of study mammograms and for taking special interest in this work. Thanks are also due to Dr. Richard Gordon for his valuable comments at several occasions. We are extremely grateful to Dr. A.N. Watson for his expert evaluation of mammographic images before and after feature enhance- ment. His critical comments have been extremely valuable in this work.

PY - 1988

Y1 - 1988

N2 - Mammographic detection of early breast cancer from X-ray film mammograms requires optimal radiological or image processing techniques. We present an image processing approach based on feature adaptive neighborhood processing with a tunable contrast-enhancement function to enhance mammographic features. This procedure brings out the features in the image with little or no enhancement of the noise. Results show that the proposed technique is intelligently tunable to the requirements of enhancement of specific mammographic features such as microcalcifications, soft-tissue characteristics, etc.

AB - Mammographic detection of early breast cancer from X-ray film mammograms requires optimal radiological or image processing techniques. We present an image processing approach based on feature adaptive neighborhood processing with a tunable contrast-enhancement function to enhance mammographic features. This procedure brings out the features in the image with little or no enhancement of the noise. Results show that the proposed technique is intelligently tunable to the requirements of enhancement of specific mammographic features such as microcalcifications, soft-tissue characteristics, etc.

KW - Adaptive neighborhood processing

KW - Contrast enhancement

KW - Image processing

KW - Mammographic feature enhancement

KW - Mammography

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JO - Computer Methods and Programs in Biomedicine

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Mammographic feature enhancement by computerized image processing

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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