Automated Three-dimensional Breast US for Screening: Technique, Artifacts, and Lesion Characterization-Reference-Cited by-同舟云学术

Automated Three-dimensional Breast US for Screening: Technique, Artifacts, and Lesion Characterization

Published:2018-05 Issue:3 Volume:38 Page:663-683
ISSN:0271-5333
Container-title:RadioGraphics
language:en
Short-container-title:RadioGraphics

Author:

van Zelst Jan C. M.¹^ORCID,Mann Ritse M.¹

Affiliation:

1. From the Department of Radiology and Nuclear Medicine, Radboud University Medical Centre, Internal Address 766, Geert Grooteplein Zuid 10, PO Box 9101, 6500HB Nijmegen, the Netherlands.

Funder

FP7 Health

Publisher

Radiological Society of North America (RSNA)

Subject

Radiology Nuclear Medicine and imaging

Link

http://pubs.rsna.org/doi/pdf/10.1148/rg.2018170162

Reference79 articles.

1. The Impact of Mammographic Screening on Breast Cancer Mortality in Europe: A Review of Observational Studies

2. Swedish Two-County Trial: Impact of Mammographic Screening on Breast Cancer Mortality during 3 Decades

3. Influence of tumour stage at breast cancer detection on survival in modern times: population based study in 173 797 patients

4. Volumetric breast density affects performance of digital screening mammography

Cited by 63 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multiview deep learning networks based on automated breast volume scanner images for identifying breast cancer in BI-RADS 4;Frontiers in Oncology;2024-09-06

2. Baseline Performance of Ultrasound-Based Strategies in Breast Cancer Screening Among Chinese Women;Academic Radiology;2024-08

3. ESR Essentials: diagnostic work-up in patients with symptomatic breast disease—practice recommendations by the European Society of Breast Imaging;European Radiology;2024-07-31

4. Mass segmentation in automated breast ultrasound using an enhanced attentive UNet;Expert Systems with Applications;2024-07

5. Detection and diagnosis of automated breast ultrasound in patients with BI-RADS category 4 microcalcifications: a retrospective study;BMC Medical Imaging;2024-05-28