4.7 Article

Deep Learning Predicts Interval and Screening-detected Cancer from Screening Mammograms: A Case-Case-Control Study in 6369 Women

Related references

Note: Only part of the references are listed.
Article Cell Biology

Toward robust mammography-based models for breast cancer risk

Adam Yala et al.

Summary: Improved breast cancer risk models like Mirai utilize deep learning to achieve earlier detection and less harm from screenings. By training on diverse datasets and demonstrating superior accuracy, Mirai outperforms prior models in identifying high-risk patients across different populations.

SCIENCE TRANSLATIONAL MEDICINE (2021)

Article Radiology, Nuclear Medicine & Medical Imaging

Comparison of a Deep Learning Risk Score and Standard Mammographic Density Score for Breast Cancer Risk Prediction

Karin Dembrower et al.

RADIOLOGY (2020)

Article Radiology, Nuclear Medicine & Medical Imaging

A Deep Learning Mammography-based Model for Improved Breast Cancer Risk Prediction

Adam Yala et al.

RADIOLOGY (2019)

Article Radiology, Nuclear Medicine & Medical Imaging

Predicting Breast Cancer by Applying Deep Learning to Linked Health Records and Mammograms

Ayelet Akselrod-Ballin et al.

RADIOLOGY (2019)

Article Radiology, Nuclear Medicine & Medical Imaging

Mammographic Breast Density Assessment Using Deep Learning: Clinical Implementation

Constance D. Lehman et al.

RADIOLOGY (2019)

Article Computer Science, Artificial Intelligence

Improving Accuracy and Efficiency with Concurrent Use of Artificial Intelligence for Digital Breast Tomosynthesis

Emily F. Conant et al.

RADIOLOGY-ARTIFICIAL INTELLIGENCE (2019)

Article Radiology, Nuclear Medicine & Medical Imaging

Supplemental Breast Cancer Screening With Molecular Breast Imaging for Women With Dense Breast Tissue

Robin B. Shermis et al.

AMERICAN JOURNAL OF ROENTGENOLOGY (2016)

Review Medicine, General & Internal

Harms of Breast Cancer Screening: Systematic Review to Update the 2009 US Preventive Services Task Force Recommendation

Heidi D. Nelson et al.

ANNALS OF INTERNAL MEDICINE (2016)

Article Computer Science, Interdisciplinary Applications

Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring

Michiel Kallenberg et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2016)

Article Radiology, Nuclear Medicine & Medical Imaging

Comparison of Clinical and Automated Breast Density Measurements: Implications for Risk Prediction and Supplemental Screening

Kathleen R. Brandt et al.

RADIOLOGY (2016)

Article Medicine, General & Internal

Identifying Women With Dense Breasts at High Risk for Interval Cancer A Cohort Study

Karla Kerlikowske et al.

ANNALS OF INTERNAL MEDICINE (2015)

Article Mathematical & Computational Biology

A concordance index for matched case-control studies with applications in cancer risk

Adam R. Brentnall et al.

STATISTICS IN MEDICINE (2015)

Article Oncology

Mammographic screening detects low-risk tumor biology breast cancers

C. A. Drukker et al.

BREAST CANCER RESEARCH AND TREATMENT (2014)

Article Oncology

Breast density and parenchymal patterns as markers of breast cancer risk: A meta-analysis

Valerie A. McCormack et al.

CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION (2006)

Article Oncology

Breast density as a predictor of mammographic detection: Comparison of interval- and screen-detected cancers

MT Mandelson et al.

JOURNAL OF THE NATIONAL CANCER INSTITUTE (2000)