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eess.IV2023
Domain Transfer Through Image-to-Image Translation for Uncertainty-Aware Prostate Cancer Classification
Meng Zhou, Amoon Jamzad, Jason Izard +3
Prostate Cancer (PCa) is a prevalent disease among men, and multi-parametric MRIs offer a non-invasive method for its detection. While MRI-based deep learning solutions have shown…
eess.IV2023★ 1 cited
TRUSformer: Improving Prostate Cancer Detection from Micro-Ultrasound Using Attention and Self-Supervision
Mahdi Gilany, Paul Wilson, Andrea Perera-Ortega +6
A large body of previous machine learning methods for ultrasound-based prostate cancer detection classify small regions of interest (ROIs) of ultrasound signals that lie within a l…