AI-Based Automatic Prostate Gland Segmentation in Multi-modal Medical Imaging: A Review
inforesearchPeer-Reviewed
research
Source: IEEE Xplore (Security & AI Journals)December 5, 2025
Summary
This article reviews AI-based methods for automatically identifying and outlining the prostate gland in medical images from multiple sources (CT scans, MRI, and ultrasound). The review explains that prostate segmentation, the process of precisely marking the prostate's boundaries in images, is difficult because medical images are imperfect and the prostate has complex internal structure, but machine learning tools are being developed to improve early detection of prostate cancer.
Classification
Attack SophisticationModerate
AI Component TargetedModel
Monthly digest — independent AI security research
Original source: http://ieeexplore.ieee.org/document/11278591
First tracked: June 8, 2026 at 02:01 AM
Classified by LLM (prompt v3) · confidence: 75%