Prediction of mammographic breast density based on clinical breast ultrasound images using deep learning: a retrospective analysis

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Publication Details

Journal
The Lancet Regional Health - Americas
Published
2025-04-18
DOI
https://doi.org/10.1016/j.lana.2025.101096
Citations
2
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
4.96

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article

Prediction of mammographic breast density based on clinical breast ultrasound images using deep learning: a retrospective analysis

Thomas Wolfgruber, Jeffrey Killeen, Todd B. Seto, Brenda Y. Hernandez et al.
2 citations
The Lancet Regional Health - Americas
AI in cancer detection
4.96
article

Prediction of mammographic breast density based on clinical breast ultrasound images using deep learning: a retrospective analysis

Thomas Wolfgruber, Jeffrey Killeen, Todd B. Seto, Brenda Y. Hernandez, Brandon K. Quon, John Shepherd, Masayoshi Miyoshi, Peter Sadowski, Arianna Bunnell, Dustin Valdez, Kailee Hung
article en
2 citations

Abstract

No abstract available for this paper.
The Lancet Regional Health - AmericasVol. 46
University of Hawaiʻi at Mānoa (US), University of Hawaii System (US), Queen's Medical Center (US), St. Francis Medical Center (US), Pacific Health Research and Education Institute (US)
Johns Hopkins University, National Institutes of Health, National Cancer Institute
Openalex Percentile: Top 6%
AI in cancer detection
4.96
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