Discrete deformable model guided by partial active shape model for TRUS image segmentation

P Yan, S Xu, B Turkbey… - IEEE Transactions on …, 2010 - ieeexplore.ieee.org
Automatic prostate segmentation in transrectal ultrasound (TRUS) images is highly desired
in many clinical applications. However, robust and automated prostate segmentation is …

Adaptively learning local shape statistics for prostate segmentation in ultrasound

P Yan, S Xu, B Turkbey… - IEEE transactions on …, 2010 - ieeexplore.ieee.org
Automatic segmentation of the prostate from 2-D transrectal ultrasound (TRUS) is a highly
desired tool in many clinical applications. However, it is a very challenging task, especially …

H-SegMed: a hybrid method for prostate segmentation in TRUS images via improved closed principal curve and improved enhanced machine learning

T Peng, C Tang, Y Wu, J Cai - International Journal of Computer Vision, 2022 - Springer
Prostate segmentation is an important step in prostate volume estimation, multi-modal image
registration, and patient-specific anatomical modeling for surgical planning and image …

Fast prostate segmentation in 3D TRUS images based on continuity constraint using an autoregressive model

M Ding, B Chiu, I Gyacskov, X Yuan… - Medical …, 2007 - Wiley Online Library
In this article a new slice‐based 3D prostate segmentation method based on a continuity
constraint, implemented as an autoregressive (AR) model is described. In order to decrease …

Robust prostate segmentation using intrinsic properties of TRUS images

P Wu, Y Liu, Y Li, B Liu - IEEE transactions on medical imaging, 2015 - ieeexplore.ieee.org
Accurate segmentation is usually crucial in transrectal ultrasound (TRUS) image based
prostate diagnosis; however, it is always hampered by heavy speckles. Contrary to the …

Segmentation of prostate boundaries from ultrasound images using statistical shape model

D Shen, Y Zhan, C Davatzikos - IEEE transactions on medical …, 2003 - ieeexplore.ieee.org
Presents a statistical shape model for the automatic prostate segmentation in transrectal
ultrasound images. A Gabor filter bank is first used to characterize the prostate boundaries in …

H-ProSeg: Hybrid ultrasound prostate segmentation based on explainability-guided mathematical model

T Peng, Y Wu, J Qin, QJ Wu, J Cai - Computer Methods and Programs in …, 2022 - Elsevier
Abstract Background and Objective Accurate and robust prostate segmentation in transrectal
ultrasound (TRUS) images is of great interest for image-guided prostate interventions and …

H-ProMed: Ultrasound image segmentation based on the evolutionary neural network and an improved principal curve

T Peng, J Zhao, Y Gu, C Wang, Y Wu, X Cheng, J Cai - Pattern Recognition, 2022 - Elsevier
The purpose of this work is to develop a method for accurate and robust prostate
segmentation in transrectal ultrasound (TRUS) images. These images are difficult to …

Automatic initialization of an active shape model of the prostate

FA Cosío - Medical Image Analysis, 2008 - Elsevier
In this work is reported a new method for automatic segmentation of the boundary of the
prostate, in transurethral ultrasound images. The scheme is based on a robust automatic …

Semiautomatic 3-D prostate segmentation from TRUS images using spherical harmonics

IB Tutar, SD Pathak, L Gong, PS Cho… - IEEE transactions on …, 2006 - ieeexplore.ieee.org
Prostate brachytherapy quality assessment procedure should be performed while the patient
is still on the operating table since this would enable physicians to implant additional seeds …