Melissa L. Barron
Sydney, NSW, Australia
Last Updated: 09/26/2026
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Found 26 publications
Comparing Radiologists' and Artificial Intelligence Performance Detecting Suspicious Microcalcifications on Screening Mammograms: A Pilot Cross-Sectional Study.
Journal: Cancer control : journal of the Moffitt Cancer Center
Published: July 27, 2026
Optimising Radiologist Performance in Cancer Detection on Mammograms: The Impact of Weekly Reading Hours and Test Set Experience on BreastScreen and Non-BreastScreen Readers.
Journal: Journal of cancer education : the official journal of the American Association for Cancer Education
Published: May 03, 2026
From Shadows to Signals: Exploring the Strengths and Limitations of AI in Breast Cancer Lesion Detection on Screening Mammograms Compared to Radiologists and Radiology Trainees.
Journal: The British journal of radiology
Published: April 28, 2026
Enhancing Diagnostic Performance of Screening Mammography Readers Using an Intelligent Bayesian-Driven Adaptive Training System.
Journal: Academic radiology
Published: April 07, 2026
Impact of Prior Mammograms on Radiologists and Radiographers' Detection of Different Breast Cancer Lesion Types.
Journal: Journal of medical radiation sciences
Published: January 29, 2025
Does access to prior mammograms improve the performance of radiographers in interpreting screening mammograms?
Journal: Radiography (London, England : 1995)
Published: September 08, 2024
Enhancing Diagnostic Precision in Breast Cancer Detection: A Digital Breast Tomosynthesis Workshop Approach for Clinicians in the Southeast Asian Population.
Journal: Asia-Pacific journal of clinical oncology
Published: July 10, 2024
Exploring the impact of work experience on the detection of specific cancers across different breast density levels on screening mammograms.
Journal: European journal of radiology
Published: April 11, 2024
Optimizing Radiological Education: The Role of Learning Spacing via Test sets in Enhancing Diagnostic Proficiency in Breast Screening Readers.
Journal: Academic radiology
Published: March 31, 2024
AI for interpreting screening mammograms: implications for missed cancer in double reading practices and challenging-to-locate lesions.
Journal: Scientific reports
Published: December 11, 2023
Evaluating Recalibrating AI Models for Breast Cancer Diagnosis in a New Context: Insights from Transfer Learning, Image Enhancement and High-Quality Training Data Integration.
Journal: Cancers
Published: December 08, 2023
Last Updated: 09/26/2026