Breast Cancer Detection: Evaluation of a Mass-Detection Algorithm for Computer-aided Diagnosis—Experience in 263 Patients-Reference-Cited by-同舟云学术

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Breast Cancer Detection: Evaluation of a Mass-Detection Algorithm for Computer-aided Diagnosis—Experience in 263 Patients

Published:2002-07 Issue:1 Volume:224 Page:217-224
ISSN:0033-8419
Container-title:Radiology
language:en
Short-container-title:Radiology

Author:

Petrick Nicholas,Sahiner Berkman,Chan Heang-Ping,Helvie Mark A.,Paquerault Sophie,Hadjiiski Lubomir M.

Publisher

Radiological Society of North America (RSNA)

Subject

Radiology Nuclear Medicine and imaging

Link

http://pubs.rsna.org/doi/pdf/10.1148/radiol.2241011062

Reference19 articles.

1. Cancer Statistics, 2001

2. REDUCTION IN MORTALITY FROM BREAST CANCER AFTER MASS SCREENING WITH MAMMOGRAPHY

3. Benefit of independent double reading in a population-based mammography screening program.

4. Effect of human variability on independent double reading in screening mammography

5. Potential Contribution of Computer-aided Detection to the Sensitivity of Screening Mammography

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2. AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer‐aided diagnosis in medical imaging;Medical Physics;2023-01-06

3. Interpretation time for screening mammography as a function of the number of computer-aided detection marks;Journal of Medical Imaging;2020-02-03

4. New Frontiers: An Update on Computer-Aided Diagnosis for Breast Imaging in the Age of Artificial Intelligence;American Journal of Roentgenology;2019-02

5. Feature selection using improved lion optimisation algorithm for breast cancer classification;International Journal of Bio-Inspired Computation;2019

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