Segmentation of malignant lesions in 3D breast ultrasound using a depth-dependent model
Author:
Publisher
Wiley
Subject
General Medicine
Reference27 articles.
1. The potential use of ultra-low radiation dose images in digital mammography-A clinical proof-of-concept study in craniocaudal views;Bluekens;Br. J. Radiol.,2015
2. Breast density as a predictor of mammographic detection: Comparison of interval- and screen-detected cancers;Mandelson;J. Natl. Cancer Inst.,2000
3. Occult cancer in women with dense breasts: Detection with screening US-diagnostic yield and tumor characteristics;Kolb;Radiology,1998
4. Combined screening with ultrasound and mammography vs mammography alone in women at elevated risk of breast cancer;Berg;JAMA,2008
5. Breast cancer detection using automated whole breast ultrasound and mammography in radiographically dense breasts;Kelly;Eur. Radiol.,2010
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