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Application Progress of Automated Breast Ultrasound in Breast Cancer
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Breast Cancer Research and Treatment, 2020
As an adjunct to mammography, ultrasound can improve the detection of breast cancer in women with dense breasts. We aimed to evaluate the diagnostic performance of automated breast ultrasound system (ABUS) and handheld ultrasound (HHUS) in Chinese women with dense breasts, both in combination with mammography and separately.This is a cross-sectional ...
Mengmeng, Jia +10 more
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As an adjunct to mammography, ultrasound can improve the detection of breast cancer in women with dense breasts. We aimed to evaluate the diagnostic performance of automated breast ultrasound system (ABUS) and handheld ultrasound (HHUS) in Chinese women with dense breasts, both in combination with mammography and separately.This is a cross-sectional ...
Mengmeng, Jia +10 more
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Classification of breast lesions in automated 3D breast ultrasound
SPIE Proceedings, 2011In this paper we investigated classification of malignant and benign lesions in automated 3D breast ultrasound (ABUS). As a new imaging modality, ABUS overcomes the drawbacks of 2D hand-held ultrasound (US) such as its operator dependence and limited capability in visualizing the breast in 3D. The classification method we present includes a 3D lesion
Tao Tan 0002 +5 more
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Detection of breast cancer in automated 3D breast ultrasound
SPIE Proceedings, 2012Automated 3D breast ultrasound (ABUS) is a novel imaging modality, in which motorized scans of the breasts are made with a wide transducer through a membrane under modest compression. The technology has gained high interest and may become widely used in screening of dense breasts, where sensitivity of mammography is poor. ABUS has a high sensitivity
Tao Tan 0002 +3 more
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Automated Whole Breast Ultrasound
Radiologic Clinics of North America, 2014Bilateral whole breast (screening) ultrasound has been well established in multiple single- and multi-institution published studies as a valuable adjunct to mammography screening for early detection of breast cancer. However, implementation of screening breast ultrasound programs has been limited and has met with resistance because of the number of ...
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Automated segmentation of breast lesions in ultrasound images
2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 2005Breast cancer is one of the leading causes of death in women. As a convenient and safe diagnosis method, ultrasound is most commonly used second to mammography for early detection and diagnosis of breast cancer. Here we proposed an automatic method to segment lesions in ultrasound images.
Xu, Liu, Zhimin, Huo, Jiwu, Zhang
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An automated breast ultrasound system for elastography
2012 IEEE International Ultrasonics Symposium, 2012An automated breast ultrasound system (ABUS) has recently been introduced for breast screening and monitoring of cancer treatment. ABUS enables clinicians to acquire ultrasound images from the entire breast tissue in a few minutes. In this work we report the addition of tissue elasticity imaging to the ABUS system that enables the clinician to ...
Reza Zahiri Azar +6 more
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Lesion detectability in automated breast ultrasound
SPIE Proceedings, 2014Automated Breast Ultrasound systems introduce a new ultrasound-imaging technology to address some of the drawbacks of the traditional handheld ultrasound. The detection performance of this new technology is studied. The lesion detectability performance is measured using Monte-Carlo simulation techniques for the observers of the synthesized images ...
Sara Bahramian, Keith Wear
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Tumori Journal, 2020
Purpose: To investigate the agreement between automated breast ultrasound (ABUS) and hand-held ultrasound (HHUS) in surveillance of women with a history of breast cancer in terms of recurrences or new ipsilateral or contralateral breast cancer. Methods:
Catherine Depretto +6 more
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Purpose: To investigate the agreement between automated breast ultrasound (ABUS) and hand-held ultrasound (HHUS) in surveillance of women with a history of breast cancer in terms of recurrences or new ipsilateral or contralateral breast cancer. Methods:
Catherine Depretto +6 more
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