Objective breast tissue image classification using Quantitative Transmission ultrasound tomography
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://www.nature.com/articles/srep38857.pdf
Reference19 articles.
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2. Berg, W. A. Rationale for a trial of screening breast ultrasound: American College of Radiology Imaging Network (ACRIN) 6666. Am. J. Roentgenol. 180, 1225–1228 (2003).
3. Giuliano, V. & Giuliano, C. Improved breast cancer detection in asymptomatic women using 3D-automated breast ultrasound in mammographically dense breasts. Clin. Imaging 37, 480–486 (2013).
4. Chang, J. M., Moon, W. K., Cho, N., Park, J. S. & Kim, S. J. Radiologists’ performance in the detection of benign and malignant masses with 3D automated breast ultrasound (ABUS). Eur. J. Radiol. 78, 99–103 (2011).
5. Chou, Y.-H., Tiu, C.-M., Chen, J. & Chang, R.-F. Automated full-field breast ultrasonography: The Past and The Present. J. Med. Ultrasound 15, 31–44 (2007).
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