Detection and Classification of Lesions in Mammograms using One-Stage Models. [PDF]
Sakha MA, Ameri A.
europepmc +1 more source
From Innovation to Application: Can Emerging Imaging Techniques Transform Breast Cancer Diagnosis? [PDF]
Hsu H +6 more
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Clinically Robust Deep Learning for Contrast-Enhanced Mammography: Multicenter Evaluation Across Convolutional Neural Network Architectures. [PDF]
Fusco R +19 more
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Engineering the Image Representation for Deep Learning in Contrast-Enhanced Mammography: A Systematic Analysis of Preprocessing and Anatomical Masking. [PDF]
Fusco R +19 more
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Contrast-enhanced spectral mammography demonstrates better inter-reader repeatability than digital mammography for screening breast cancer patients. [PDF]
Mohebbi A +5 more
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Utilization of ultrasound combined with Ki-67 and CESM quantitative parameters to predict pathological complete response following neoadjuvant chemotherapy in triple-negative breast cancer. [PDF]
Zhang Y, Yuan MQ, Jia TL, Guo J.
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ROI-Based Quantitative Analysis in Contrast-Enhanced Mammography: A Feasibility Study for Reproducible Enhancement Assessment. [PDF]
Tari DU +4 more
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Radiologic imaging and its current importance in breast cancer management. [PDF]
Dagar N, Sarin M, Yadav P, Thidwar R.
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AI-Based Characterization of Breast Cancer in Mammography and Tomosynthesis: A Review of Radiomics and Deep Learning for Subtyping, Staging, and Prognosis. [PDF]
Mota AM.
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