Bi Parametric

Bi-parametric MRI (bpMRI) analysis focuses on developing AI-driven methods for accurate and efficient prostate cancer detection and grading using only two MRI sequences, reducing the need for potentially harmful contrast agents. Current research heavily utilizes deep learning architectures, such as U-Nets and transformers, often incorporating self-supervised learning and weakly supervised techniques to address data scarcity and annotation challenges. These advancements aim to improve the speed and accuracy of prostate cancer diagnosis, potentially leading to earlier intervention and better patient outcomes.