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Published in 2017 at "Journal of Clinical Ultrasound"
DOI: 10.1002/jcu.22475
Abstract: To evaluate the differences in sonographic (US) distance and volume measurements from different sonologists and identify the optimal parameters to avoid clinically relevant variations in the measurement of BI‐RADS 3 breast masses.
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Keywords:
sonographic measurement;
variations sonographic;
breast masses;
rads breast ... See more keywords
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Published in 2020 at "Journal of Ultrasound in Medicine"
DOI: 10.1002/jum.15236
Abstract: The purpose of this study was to investigate the contribution of strain index measurements and a 5‐point scoring method to diagnostic accuracy in differential diagnosis of benign and malignant solid breast masses and to compare…
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Keywords:
diagnosis;
contribution sonoelastography;
breast masses;
benign malignant ... See more keywords
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2
Published in 2020 at "European Radiology"
DOI: 10.1007/s00330-019-06610-0
Abstract: Objectives To develop a dual-modal neural network model to characterize ultrasound (US) images of breast masses. Materials and methods A combined US B-mode and color Doppler neural network model was developed to classify US images…
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Keywords:
neural network;
model;
breast masses;
mode color ... See more keywords
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Published in 2018 at "Clinical imaging"
DOI: 10.1016/j.clinimag.2018.02.013
Abstract: Tuberculosis mastitis can be a challenging diagnosis, often presenting with clinical and imaging findings that are suspicious for malignancy. We present a case of a 49-year-old female with a breast mass initially diagnosed as idiopathic…
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Keywords:
mastitis presenting;
mastitis;
breast;
breast masses ... See more keywords
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Published in 2020 at "Clinical imaging"
DOI: 10.1016/j.clinimag.2020.04.039
Abstract: Breast malignancy is the second most common cause of cancer death in women. However, less common breast masses can mimic carcinoma and can pose diagnostic challenges. This case-based review describes a spectrum of rare breast…
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Keywords:
breast;
suspects mammographic;
unusual suspects;
breast masses ... See more keywords
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1
Published in 2019 at "Current problems in diagnostic radiology"
DOI: 10.1067/j.cpradiol.2019.02.013
Abstract: OBJECTIVE This study was done to compare parameters of strain elastography (SE) and shear-wave elastography (SWE) for differentiation of benign and malignant breast masses and determine their best cut-offs. MATERIAL AND METHODS B mode ultrasound…
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Keywords:
score;
avg;
elastography;
breast masses ... See more keywords
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Published in 2022 at "Medicine"
DOI: 10.1097/md.0000000000030359
Abstract: Background: Computer-aided diagnosis (CAD) systems have shown great potential as an effective auxiliary diagnostic tool in breast imaging. Previous studies have shown that S-Detect technology has a high accuracy in the differential diagnosis of breast…
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Keywords:
meta analysis;
accuracy;
breast;
breast masses ... See more keywords
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Published in 2021 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2020.3034804
Abstract: Breast Ultrasound (BUS) imaging has been recognized as an essential imaging modality for breast masses classification in China. Current deep learning (DL) based solutions for BUS classification seek to feed ultrasound (US) images into deep…
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Keywords:
ultrasound images;
masses classification;
breast masses;
breast ... See more keywords
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Published in 2017 at "Journal of Medical Imaging"
DOI: 10.1117/1.jmi.4.2.024507
Abstract: Abstract. A method using rough set feature selection and extreme learning machine (ELM) whose learning strategy and hidden node parameters are optimized by self-adaptive differential evolution (SaDE) algorithm for classification of breast masses is investigated.…
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Keywords:
machine;
breast;
feature selection;
breast masses ... See more keywords
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Published in 2018 at "Radiology"
DOI: 10.1148/radiol.2018170500
Abstract: Purpose To assess the ability of optoacoustic (OA) ultrasonography (US) to help correctly downgrade benign masses classified as Breast Imaging Reporting and Data System (BI-RADS) 4a and 4b to BI-RADS 3 or 2. Materials and…
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Keywords:
breast imaging;
breast;
breast masses;
masses classified ... See more keywords
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Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/6548811
Abstract: The efficient biological signal processing method can effectively improve the efficiency of researchers to explore the work of life mechanism, so as to better reveal the relationship between physiological structure and function, thus promoting the…
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Keywords:
network;
classification reconstruction;
classification;
breast masses ... See more keywords