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Implementation of several mathematical algorithms to breast tissue density classification
(2014)
The accuracy of mammographic abnormality detection methods is strongly dependent on breast tissue characteristics, where a dense breast tissue can hide lesions causing cancer to be detected at later stages. In addition, ...
Implementation of several mathematical algorithms to breast tissue density classification
(Pergamon-Elsevier Science Ltd., 2014-02)
The accuracy of mammographic abnormality detection methods is strongly dependent on breast tissue characteristics, where a dense breast tissue can hide lesions causing cancer to be detected at later stages. In addition, ...
Breast density in women with premature ovarian failure using hormone therapy
(Informa HealthcareNew YorkEUA, 2008)
A comparison of various methods for measuring breast density and breast tissue composition in adolescent girls and women
(Nature, 2022)
This study compared different approaches to measuring breast density and breast tissue composition
(BTC) in adolescent girls (n = 42, aged 14–16 years) and their mothers (n = 39, aged 36–61 years) from
a cohort in Santiago, ...
Classificação mamográfica por densidade mamária utilizando atributos de intensidade e texturaBreast density classification through intensity and texture features
(Universidade Federal de UberlândiaBRPrograma de Pós-graduação em Engenharia BiomédicaEngenhariasUFU, 2016)
Breast density in women with premature ovarian failure or postmenopausal women using hormone therapy: Analytical cross-sectional studyDensidade mamária em mulheres com falência ovariana prematura ou na pós-menopausa e em uso de terapia hormonal: Estudo transversal analítico
(2010-01-01)
Context and objective: Studies on postmenopausal women have reported increased risk of breast cancer relating to the type and duration of hormone therapy (HT) used. Women with premature ovarian failure (POF) represent a ...
Bone mineral density in healthy female adolescents according to age, bone age and pubertal breast stage
(Bentham Open, 2011)
This study was designed to evaluate bone mineral density (BMD) in healthy female Brazilian adolescents in five groups looking at chronological age, bone age, and pubertal breast stage, and determining BMD behavior for each ...
Automatic Breast Density Classification Using A Convolutional Neural Network Architecture Search Procedure
(SPIE-INT SOC OPTICAL ENGINEERINGBELLINGHAM, 2015)
Artemisia: Validation of a deep learning model for automatic breast density categorization
(AME Publishing Company, 2021-06)
Background: The aim of this study is to validate a deep learning model for the classification of breast density according to American College of Radiology’s breast density patterns. Methods: A convolutional neural network ...