Classification of fatty and dense breast parenchyma: comparison of automatic volumetric density measurement and radiologists' classification and their inter-observer variation

Osteras Bjorn Helge; Martinsen Anne Catrine T.; Brandal Siri Helene B.; Chaudhry Khalida Nasreen; Eben Ellen; Haakenaasen Unni; Falk Ragnhild Sorum; Skaane Per

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Classification of fatty and dense breast parenchyma: comparison of automatic volumetric density measurement and radiologists' classification and their inter-observer variation

机译：脂肪和致密乳腺实质的分类：自动体积密度测量与放射线医师分类及其观察者间差异的比较

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摘要

Background: Automatically calculated breast density is a promising alternative to subjective BI-RADS density assessment. However, such software needs a cutoff value for density classification.

机译：背景：自动计算的乳房密度是主观BI-RADS密度评估的有希望的替代方法。但是，此类软件需要一个用于密度分类的临界值。

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《Acta Radiologica》 |2016年第10期|共8页
作者
Osteras Bjorn Helge; Martinsen Anne Catrine T.; Brandal Siri Helene B.; Chaudhry Khalida Nasreen; Eben Ellen; Haakenaasen Unni; Falk Ragnhild Sorum; Skaane Per;
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正文语种 eng
中图分类放射医学;
关键词
Breast density; breast cancer screening; digital mammography; breast density classification; automated volumetric breast density measurements; BI-RADS density categories;

机译：乳房密度;乳腺癌筛查;数字乳腺X线摄影;乳房密度分类;自动体积乳房密度测量;BI-RADS密度类别;

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1. Classification of fatty and dense breast parenchyma: comparison of automatic volumetric density measurement and radiologists' classification and their inter-observer variation [J] . Osteras Bjorn Helge, Martinsen Anne Catrine T., Brandal Siri Helene B., Acta Radiologica . 2016,第10期

机译：脂肪和致密乳腺实质的分类：自动体积密度测量与放射线医师分类及其观察者间差异的比较
2. Can quantitative evaluation of mammographic breast density, “volumetric measurement”, predict the masking risk with dense breast tissue? Investigation by comparison with subjective visual estimation by Japanese radiologists [J] . Mikinao Oiwa, Tokiko Endo, Namiko Suda, Breast cancer . 2019,第3期

机译：乳腺钼靶乳房密度的定量评估（“体积测量”）能否预测乳腺密集组织的掩盖风险？通过与日本放射科医生的主观视觉估计进行比较来进行调查
3. BI-RADS Density Classification From Areometric and Volumetric Automatic Breast Density Measurements [J] . Osteras Bjorn Helge, Martinsen Anne Catrine T., Brandal Sid Helene B., Academic radiology . 2016,第4期

机译：基于等距和体积自动乳房密度测量的BI-RADS密度分类
4. Mammographic breast density classification using a deep neural network: Assessment based on inter-observer variability [C] . N. Kaiser, A. Fieselmann, S. Vesal, Society of Photo-Optical Instrumentation Engineers;SPIE Medical Imaging Conference . 2019

机译：使用深度神经网络的乳房X线乳腺密度分类：基于观察者间差异的评估
5. Automatic Quantification and Classification of Breast Density in 2D Ultrasound Images [D] . Oliveira, ?ngela Cristina Marques de. 2015

机译：2D超声图像中乳房密度的自动量化和分类
6. Measuring mammographic density: comparing a fully automated volumetric assessment versus European radiologists’ qualitative classification [O] . Hanna Sartor, Kristina Lång, Aldana Rosso, -1

机译：测量乳腺X射线摄影密度：将全自动体积评估与欧洲放射线医师的定性分类进行比较
7. Impact of errors in recorded compressed breast thickness measurements on volumetric density classification using volpara v1.5.0 software [O] . Waade, G, Highnam, R, Hauge, I, 2016

机译：使用volpara v1.5.0软件记录的压缩乳房厚度测量值中的误差对体积密度分类的影响
8. Asymmetry Analysis Using Automatic Segmentation and Classification for Breast Cancer Detection in Thermograms. [R] . Qi, H., Head, J. F. 2001

机译：利用自动分割和分类进行热像图中乳腺癌检测的不对称分析。

Classification of fatty and dense breast parenchyma: comparison of automatic volumetric density measurement and radiologists' classification and their inter-observer variation

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