Silicone phantom validation of breast cancer tumor detection using nominal stiffness identification in digital imaging elasto-tomography (DIET)-Reference-Cited by-同舟云学术

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Silicone phantom validation of breast cancer tumor detection using nominal stiffness identification in digital imaging elasto-tomography (DIET)

Published:2018-01 Issue: Volume:39 Page:435-447
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Zhou Cong,Chase J. Geoffrey,Ismail Hina,Signal Matthew K.,Haggers Marcus,Rodgers Geoffrey W.,Pretty Chris

Funder

NZ National Science Challenge

NZ MedTech Core

RSNZ

Callaghan Innovation

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing

Reference48 articles.

1. Breast cancer as a global health concern;Coughlin;Cancer Epidemiol.,2009

2. Cancer survival in five continents: a worldwide population-based study (CONCORD);Coleman;The Lancet Oncol.,2008

3. Predicting the survival of patients with breast carcinoma using tumor size;Michaelson;Cancer,2002

4. Pain coping and the pain experience during mammography: a preliminary study;Kashikar-Zuck;Pain,1997

5. Pain during mammography: the role of coping strategies;Asghari;Pain,2004

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