Prostate segmentation is a challenging task, and the challenges significantly differ from one
imaging modality to another. Low contrast, speckle, micro-calcifications and imaging artifacts …

Prostate carcinoma is one of the most prevalent cancers worldwide. Multiparametric
magnetic resonance imaging (mpMRI) is a non-invasive tool that can improve prostate …

Purpose Transrectal ultrasound (TRUS) is a versatile and real‐time imaging modality that is
commonly used in image‐guided prostate cancer interventions (eg, biopsy and …

Evolutionary algorithms (EAs) are well-known optimization approaches to deal with
nonlinear and complex problems. However, these population-based algorithms are …

The goal of this work was to develop a method for accurate and robust automatic
segmentation of the prostate clinical target volume in transrectal ultrasound (TRUS) images …

Nowadays, prostate cancer has surpassed lung cancer as the most common type of cancer,
segmentation of prostate ultrasound images is a critical step in the detection and planning …

In this paper we report and characterize a semi-automatic prostate segmentation method for
prostate brachytherapy. Based on anatomical evidence and requirements of the treatment …

Image thresholding is a challenging task in image processing field. Many efforts have
already been made to propose universal, robust methods to handle a wide range of images …

Prostate cancer is the second leading cause of cancer death in American men. Current
prostate MRI can benefit from automated tumor localization to help guide biopsy …

Objective: We present a new hybrid edge and region-based parametric deformable model,
or active surface, for prostate volume segmentation in transrectal ultrasound (TRUS) images …