Segmentation of prostate ultrasound images: the state of the art and the future directions of segmentation algorithms

J Jiang, Y Guo, Z Bi, Z Huang, G Yu, J Wang - Artificial Intelligence Review, 2023 - Springer
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 …

Deep attentive features for prostate segmentation in 3D transrectal ultrasound

Y Wang, H Dou, X Hu, L Zhu, X Yang… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Automatic prostate segmentation in transrectal ultrasound (TRUS) images is of essential
importance for image-guided prostate interventions and treatment planning. However …

Multi-stage fully convolutional network for precise prostate segmentation in ultrasound images

Y Feng, CC Atabansi, J Nie, H Liu, H Zhou… - Biocybernetics and …, 2023 - Elsevier
Prostate cancer is one of the most commonly diagnosed non-cutaneous malignant tumors
and the sixth major cause of cancer-related death generally found in men globally …

An automated modified region growing technique for prostate segmentation in trans-rectal ultrasound images

M Wahba - 2009 - uwspace.uwaterloo.ca
Medical imaging plays a vital role in the medical field because it is widely used in diseases
diagnosis and treatment of patients. There are different modalities of medical imaging such …

Prostate volume segmentation in TRUS using hybrid edge-Bhattacharyya active surfaces

V Jaouen, J Bert, KA Mountris… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
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 …

Accurate and robust deep learning-based segmentation of the prostate clinical target volume in ultrasound images

D Karimi, Q Zeng, P Mathur, A Avinash, S Mahdavi… - Medical image …, 2019 - Elsevier
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 …

Automatic slice segmentation of intraoperative transrectal ultrasound images using convolutional neural networks

N Ghavami, Y Hu, E Bonmati, R Rodell… - Medical Imaging …, 2018 - spiedigitallibrary.org
This paper, originally published on 12 March 2018, was replaced with a corrected/revised
version on 1 June 2018. If you downloaded the original PDF but are unable to access the …

Prostate ultrasound image segmentation based on dsu-net

X Wang, Z Chang, Q Zhang, C Li, F Miao, G Gao - Biomedicines, 2023 - mdpi.com
In recent years, the incidence of prostate cancer in the male population has been increasing
year by year. Transrectal ultrasound (TRUS) is an important means of prostate cancer …

Automatic prostate segmentation using deep learning on clinically diverse 3D transrectal ultrasound images

N Orlando, DJ Gillies, I Gyacskov, C Romagnoli… - Medical …, 2020 - Wiley Online Library
Purpose Needle‐based procedures for diagnosing and treating prostate cancer, such as
biopsy and brachytherapy, have incorporated three‐dimensional (3D) transrectal ultrasound …

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 …