Automated mammographic breast density estimation using a fully convolutional network
نویسندگان
چکیده
منابع مشابه
Statistical Evaluation of a Fully Automated Mammographic Breast Density Algorithm
Visual assessments of mammographic breast density by radiologists are used in clinical practice; however, these assessments have shown weaker associations with breast cancer risk than area-based, quantitative methods. The purpose of this study is to present a statistical evaluation of a fully automated, area-based mammographic density measurement algorithm. Five radiologists estimated density i...
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OBJECTIVE To compare automated volumetric breast density measurement (VBDM) with radiologists' evaluations based on the Breast Imaging Reporting and Data System (BI-RADS), and to identify the factors associated with technical failure of VBDM. MATERIALS AND METHODS In this study, 1129 women aged 19-82 years who underwent mammography from December 2011 to January 2012 were included. Breast dens...
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This paper presents a method for automated mammographic risk classification based on breast density estimation in mammograms. The overall profile of breast tissue density is represented using a topographic map, which is a hierarchical representation, obtained from the upper level sets of an image. A shape tree is constructed to describe the topological and geometrical structure of the shapes (i...
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The purpose was to present mean breast density of Korean women according to age using fully automated volumetric assessment. This study included 5,967 screening normal or benign mammograms (mean age, 46.2 ± 9.7; range, 30-89 years), from cancer-screening program. We evaluated mean fibroglandular tissue volume, breast tissue volume, volumetric breast density (VBD), and the results were 53.7 ± 30...
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The task of breast density quantification is becoming increasingly relevant due to its association with breast cancer risk. In this work, a semi-automated and a fully automated tools to assess breast density from full-field digitized mammograms are presented. The first tool is based on a supervised interactive thresholding procedure for segmenting dense from fatty tissue and is used with a twof...
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ژورنال
عنوان ژورنال: Medical Physics
سال: 2018
ISSN: 0094-2405
DOI: 10.1002/mp.12763