Molecular imaging is a key tool in the diagnosis and treatment of prostate cancer (PCa).
Magnetic Resonance (MR) plays a major role in this respect with nuclear medicine imaging …

Objectives To assess artificial intelligence (AI) ability to evaluate intraprostatic prostate
cancer (PCa) on prostate‐specific membrane antigen positron emission tomography (PSMA …

Automatic detection and characterization of cancer are important clinical needs to optimize
early treatment. We developed a deep, semisupervised transfer learning approach for fully …

Abstract Background and Purpose Radiation therapy is used frequently for patients with
prostate cancer. Dose escalation to intraprostatic lesions (IPLs) has been shown to improve …

The increased use of prostate-specific membrane antigen (PSMA) based PET imaging for
prostate cancer (Pca) detection has revolutionized the clinical management of Pca, with …

Abstract Purpose Convolutional Neural Networks (CNNs) have emerged as transformative
tools in the field of radiation oncology, significantly advancing the precision of contouring …

Artificial intelligence (AI) may decrease 18F-FDG PET/CT–based gross tumor volume (GTV)
delineation variability and automate tumor-volume–derived image biomarker extraction …

Purpose The focal radiation therapy (RT) boost technique was shown in a phase III
randomized controlled trial (RCT) to improve prostate cancer outcomes without increasing …

This study aimed to assess the accuracy of intraprostatic tumor volume measurements on
prostate-specific membrane antigen–targeted 18F-DCFPyL PET/CT made with various …

Accurate segmentation of prostate tumours from PET images presents a formidable
challenge in medical image analysis. Despite considerable work and improvement in …