Detailed Image Data Quality and Cleaning Practices for Artificial Intelligence Tools for Breast Cancer-Reference-Cited by-同舟云学术

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Detailed Image Data Quality and Cleaning Practices for Artificial Intelligence Tools for Breast Cancer

Published:2024-03 Issue:8 Volume: Page:
ISSN:2473-4276
Container-title:JCO Clinical Cancer Informatics
language:en
Short-container-title:JCO Clin Cancer Inform

Author:

Wu Dolly Y.¹^ORCID,Fang Yisheng V.²^ORCID,Vo Dat T.³^ORCID,Spangler Ann⁴^ORCID,Seiler Stephen J.⁵^ORCID

Affiliation:

1. Volunteer Services, UT Southwestern Medical Center, Dallas, TX

2. Department of Pathology, UT Southwestern Medical Center, Dallas, TX

3. Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX

4. Retired, Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX

5. Department of Radiology, UT Southwestern Medical Center, Dallas, TX

Abstract

Standardizing image-data preparation practices to improve accuracy/consistency of AI diagnostic tools.

Publisher

American Society of Clinical Oncology (ASCO)

Link

https://ascopubs.org/doi/pdfdirect/10.1200/CCI.23.00074

Reference41 articles.

1. The efficacy of using computer-aided detection (CAD) for detection of breast cancer in mammography screening: a systematic review

2. Evolution of Breast Cancer Screening in the Medicare Population: Clinical and Economic Implications

3. Utilization of Computer-Aided Detection for Digital Screening Mammography in the United States, 2008 to 2016

4. Inconsistent Performance of Deep Learning Models on Mammogram Classification

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