Enhancing prostate cancer segmentation in bpMRI: Integrating zonal awareness into attention-guided U-Net.

ABSTRACT:

Purpose

Prostate cancer (PCa) is the second most common cancer in males worldwide, requiring improvements in diagnostic imaging to identify and treat it at an early stage. Bi-parametric magnetic resonance imaging (bpMRI) is recognized as an essential diagnostic technique for PCa, providing shorter acquisition times and cost-effectiveness. Nevertheless, accurate diagnosis using bpMRI images is difficult due to the inconspicuous and diverse characteristics of malignant tumors and the intricate structure of the prostate gland. An automated system is required to assist the medical professionals in accurate and early diagnosis with less effort.

Method

This study recognizes the impact of zonal features on the advancement of the disease. The aim is to improve the diagnostic perform

SUBMITTER: Wei C 

PROVIDER: S-EPMC11758924 | biostudies-literature | 2025 Jan-Dec

REPOSITORIES: biostudies-literature