Mammographic Breast Density Assessment Using Deep Learning: Clinical Implementation
Purpose: To develop a deep learning (DL) algorithm to assess mammographic breast density.
Toward Robust Mammography-Based Models for Breast Cancer Risk
Published 27 January 2021, Sci. Transl. Med
A Deep Learning Model to Triage Screening Mammograms: A Simulation Study
Recent deep learning (DL) approaches have shown promise in improving sensitivity but have not addressed limitations in radiologist …
A Deep Learning Mammography-based Model for Improved Breast Cancer Risk Prediction
Deep learning models that use full-field mammograms yield substantially improved risk discrimination compared with the Tyrer-Cuzick …
Hidden in Plain Sight — Reconsidering the Use of Race Correction in Clinical Algorithms
Physicians still lack consensus on the meaning of race. When the Journal took up the topic in 2003 with a debate about the role of race …