Deep learning-based Breast Imaging Reporting and Data System classification and establishment of diagnostic model in breast cancer diagnosis with automated breast ultrasound. [PDF]
Quant Imaging Med SurgZhou X +12 more
europepmc +1 more source
Response to "From Association to Interpretation: Prognostic Meaning of Background Breast Tissue". [PDF]
Korean J RadiolKim MK, Choi JS.
europepmc +1 more source
From Association to Interpretation: Prognostic Meaning of Background Breast Tissue. [PDF]
Korean J RadiolSun M, Zang D, Chen J.
europepmc +1 more source
AI for Breast Cancer Risk Prediction Beyond Breast Density. [PDF]
J Korean Soc RadiolPark EK, Chang JM.
europepmc +1 more source
Establishment of prediction model for breast lesion using automated breast ultrasound system. [PDF]
Quant Imaging Med SurgWang X +8 more
europepmc +1 more source
The Role and Feasibility of Automated Breast Ultrasound in the Evaluation of Male Breast Disease: Workflow Efficiency and Imaging Spectrum. [PDF]
CureusEren A, Karatay E, Durur-Subasi I.
europepmc +1 more source
Association of Breast Tissue Composition on Preoperative Automated Breast Ultrasound With Accuracy of Cancer Multiplicity Evaluation and Recurrence-Free Survival in Patients With Early-Stage Breast Cancer. [PDF]
Korean J RadiolKim MK +9 more
europepmc +1 more source
Comparison of Digital Mammography Plus Full ABUS Review and Digital Mammography Plus Selective ABUS Review Guided by ABUS Artificial Intelligence-Computer-Aided Diagnosis for Breast Cancer Screening. [PDF]
Korean J RadiolYoun I +4 more
europepmc +1 more source
Acceptance, experience, and feedback for supplemental screening in dense breasts among women participating in the BRAID trial. [PDF]
Insights ImagingAllajbeu I +8 more
europepmc +1 more source
Screening Outcomes of Supplemental Automated Breast Ultrasound in Women With Nondense Breasts Undergoing Mammography. [PDF]
Korean J RadiolKwon MR +10 more
europepmc +1 more source