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 …
被引用次数：18 相关文章 所有 5 个版本
[HTML] frontiersin.org

[HTML][HTML] Semi-automatic prostate segmentation from ultrasound images using machine learning and principal curve based on interpretable mathematical model …

T Peng, C Tang, Y Wu, J Cai - Frontiers in Oncology, 2022 - frontiersin.org
Accurate prostate segmentation in transrectal ultrasound (TRUS) is a challenging problem
due to the low contrast of TRUS images and the presence of imaging artifacts such as …
被引用次数：9 相关文章 所有 6 个版本

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 …
被引用次数：23 相关文章 所有 5 个版本

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 …
被引用次数：19 相关文章 所有 4 个版本

Boundary delineation in transrectal ultrasound images for region of interest of prostate

T Peng, Y Dong, G Di, J Zhao, T Li, G Ren… - Physics in Medicine …, 2023 - iopscience.iop.org
Accurate and robust prostate segmentation in transrectal ultrasound (TRUS) images is of
great interest for ultrasound-guided brachytherapy for prostate cancer. However, the current …
被引用次数：2 相关文章 所有 4 个版本

Automatic coarse-to-refinement-based ultrasound prostate segmentation using optimal polyline segment tracking method and deep learning

T Peng, D Xu, C Tang, J Zhao, Y Shen, C Yang… - Applied Intelligence, 2023 - Springer
Automatic segmentation of the prostate in transrectal ultrasound (TRUS) images provides
useful information for prostate cancer diagnosis and treatment. However, boundaries …
被引用次数：3 相关文章 所有 3 个版本

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 …
被引用次数：34 相关文章 所有 4 个版本
[HTML] nih.gov

3D transrectal ultrasound (TRUS) prostate segmentation based on optimal feature learning framework

X Yang, PJ Rossi, AB Jani, H Mao… - … Imaging 2016: Image …, 2016 - spiedigitallibrary.org
We propose a 3D prostate segmentation method for transrectal ultrasound (TRUS) images,
which is based on patch-based feature learning framework. Patient-specific anatomical …
被引用次数：41 相关文章 所有 8 个版本
[HTML] nih.gov

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 …
被引用次数：156 相关文章 所有 10 个版本
[PDF] wiley.com

Ultrasound prostate segmentation based on multidirectional deeply supervised V‐Net

Y Lei, S Tian, X He, T Wang, B Wang, P Patel… - Medical …, 2019 - Wiley Online Library
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 …
被引用次数：179 相关文章 所有 7 个版本