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A Deep Learning Decision Support Tool to Improve Risk Stratification and Reduce Unnecessary Biopsies in BI-RADS 4 Mammograms

4.5 (734) · $ 12.00 · In stock

A Deep Learning Decision Support Tool to Improve Risk Stratification and  Reduce Unnecessary Biopsies in BI-RADS 4 Mammograms
Artificial intelligence (AI) model to assist digital breast

Artificial intelligence (AI) model to assist digital breast

Predicting up to 10 year breast cancer risk using longitudinal

Predicting up to 10 year breast cancer risk using longitudinal

Correlation of Radiologist Rank as a Measure of Skill in Screening

Correlation of Radiologist Rank as a Measure of Skill in Screening

Tiancheng He - AbbVie

Tiancheng He - AbbVie

Dr. David Spak, MD – Houston, TX

Dr. David Spak, MD – Houston, TX

Combined Benefit of Quantitative Three-Compartment Breast Image

Combined Benefit of Quantitative Three-Compartment Breast Image

Joe ENSOR, Research Scientist, PhD

Joe ENSOR, Research Scientist, PhD

Human Error in Miscellaneous Health Care Areas and Health Care

Human Error in Miscellaneous Health Care Areas and Health Care

Cancers, Free Full-Text

Cancers, Free Full-Text

Adenosis classified as BI-RADS 4A. a Ultrasound revealed a solid

Adenosis classified as BI-RADS 4A. a Ultrasound revealed a solid

Reducing the number of unnecessary biopsies for mammographic BI

Reducing the number of unnecessary biopsies for mammographic BI

Breast Masses: Computer-aided Diagnosis with Serial Mammograms

Breast Masses: Computer-aided Diagnosis with Serial Mammograms