Quantifying masking in clinical mammograms via local detectability of simulated lesions-Reference-Cited by-同舟云学术

Quantifying masking in clinical mammograms via local detectability of simulated lesions

Published:2016-02-10 Issue:3 Volume:43 Page:1249-1258
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Mainprize James G.¹,Alonzo‐Proulx Olivier¹,Jong Roberta A.²,Yaffe Martin J.³

Affiliation:

1. Physical Sciences, Sunnybrook Research Institute, 2075 Bayview Avenue, Toronto, Ontario M4N 3M5, Canada

2. Department of Medical Imaging, Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, Toronto, Ontario M4N 3M5, Canada

3. Physical Sciences, Sunnybrook Research Institute, 2075 Bayview Avenue, Toronto, Ontario M4N 3M5, Canada and Department of Medical Biophysics, University of Toronto, 2075 Bayview Avenue, Toronto, Ontario M4N 3M5, Canada

Funder

Ontario Institute for Cancer Research

Canadian Cancer Society Research Institute

Ontario Institute for Cancer Research (OICR)

Canadian Cancer Society Research Institute (CCSRI)

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1118/1.4941307

Reference31 articles.

1. Diagnostic Performance of Digital versus Film Mammography for Breast-Cancer Screening

2. Diagnostic Accuracy of Digital versus Film Mammography: Exploratory Analysis of Selected Population Subgroups in DMIST

3. Breast Density as a Predictor of Mammographic Detection: Comparison of Interval- and Screen-Detected Cancers

4. Mammographic Density and the Risk and Detection of Breast Cancer

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