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Title: Automated analysis for microcalcifications in high resolution digital mammograms

Abstract

Digital mammography offers the promise of significant advances in early detection of breast cancer. Our overall goal is to design a digital system which improves upon every aspect of current mammography technology: the x-ray source, detector, visual presentation of the mammogram and computer-aided diagnosis capabilities. This paper will discuss one part of our whole-system approach -- the development of a computer algorithm using gray-scale morphology to automatically analyze and flag microcalcifications in digital mammograms in hopes of reducing the current percentage of false-negative diagnoses, which is estimated at 20%. The mamrnograms used for developing this ``mammographers assistant`` are film mammograms which we have digitized at either 70{mu}m or 35{mu}m per pixel resolution with 4096(12 bits) of gray level per pixel. For each potential microcalcification detected. in these images, we compute a number of features in order to distinguish between the different kinds of objects detected.

Authors:
; ;
Publication Date:
Research Org.:
Lawrence Livermore National Lab., CA (United States)
Sponsoring Org.:
USDOE, Washington, DC (United States)
OSTI Identifier:
93760
Report Number(s):
UCRL-ID-119088
ON: DE95014510
DOE Contract Number:  
W-7405-ENG-48
Resource Type:
Technical Report
Resource Relation:
Other Information: PBD: Oct 1994
Country of Publication:
United States
Language:
English
Subject:
55 BIOLOGY AND MEDICINE, BASIC STUDIES; MAMMARY GLANDS; CALCINOSIS; BIOMEDICAL RADIOGRAPHY; IMAGE PROCESSING; ALGORITHMS

Citation Formats

Mascio, L N, Hernandez, J M, and Logan, C M. Automated analysis for microcalcifications in high resolution digital mammograms. United States: N. p., 1994. Web. doi:10.2172/93760.
Mascio, L N, Hernandez, J M, & Logan, C M. Automated analysis for microcalcifications in high resolution digital mammograms. United States. doi:10.2172/93760.
Mascio, L N, Hernandez, J M, and Logan, C M. Sat . "Automated analysis for microcalcifications in high resolution digital mammograms". United States. doi:10.2172/93760. https://www.osti.gov/servlets/purl/93760.
@article{osti_93760,
title = {Automated analysis for microcalcifications in high resolution digital mammograms},
author = {Mascio, L N and Hernandez, J M and Logan, C M},
abstractNote = {Digital mammography offers the promise of significant advances in early detection of breast cancer. Our overall goal is to design a digital system which improves upon every aspect of current mammography technology: the x-ray source, detector, visual presentation of the mammogram and computer-aided diagnosis capabilities. This paper will discuss one part of our whole-system approach -- the development of a computer algorithm using gray-scale morphology to automatically analyze and flag microcalcifications in digital mammograms in hopes of reducing the current percentage of false-negative diagnoses, which is estimated at 20%. The mamrnograms used for developing this ``mammographers assistant`` are film mammograms which we have digitized at either 70{mu}m or 35{mu}m per pixel resolution with 4096(12 bits) of gray level per pixel. For each potential microcalcification detected. in these images, we compute a number of features in order to distinguish between the different kinds of objects detected.},
doi = {10.2172/93760},
journal = {},
number = ,
volume = ,
place = {United States},
year = {1994},
month = {10}
}