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 …

Hybrid active contour model driven by optimized local pre-fitting image energy for fast image segmentation

X Yan, G Weng - Applied Mathematical Modelling, 2022 - Elsevier
In this paper, the hybrid active contour model driven by optimized local pre-fitting image
(OLPFI) energy was proposed for fast image segmentation. Since the proposed model …

Active contour model for inhomogenous image segmentation based on Jeffreys divergence

B Han, Y Wu - Pattern Recognition, 2020 - Elsevier
Inhomogenous image segmentation has been a research challenge in recent years. To deal
with this difficulty, we propose a new local and global active contour model based on …

A survey on regional level set image segmentation models based on the energy functional similarity measure

L Zou, LT Song, T Weise, XF Wang, QJ Huang, R Deng… - Neurocomputing, 2021 - Elsevier
Image segmentation is an important field of computer vision and has attracted significant
research attention in the recent years. In this paper, we provide a survey of regional level set …

Robust image segmentation and bias field correction model based on image structural prior constraint

W Zhao, J Sang, Y Shu, D Li - Expert Systems with Applications, 2024 - Elsevier
In this paper, we propose an advanced variational model for image segmentation and bias
correction. In contrast to the majority of existing level set segmentation models that only …

Organ boundary delineation for automated diagnosis from multi-center using ultrasound images

T Peng, Y Wu, J Zhao, C Wang, QJ Wu, J Cai - Expert Systems with …, 2024 - Elsevier
Delineation of prostate boundary is a critical procedure in multi-modal prostate registration
and patient-specific anatomical modeling for surgical planning and image-guided biopsy of …

Active contour model based on local bias field estimation for image segmentation

B Dong, R **, G Weng - Signal Processing: Image Communication, 2019 - Elsevier
The active contour model is a commonly used image segmentation method. When applied
to complex images, such as images with grayscale inhomogeneity, most existing active …

Deep-segmentation of plantar pressure images incorporating fully convolutional neural networks

D Wang, Z Li, N Dey, AS Ashour, L Moraru… - Biocybernetics and …, 2020 - Elsevier
Comfort shoe-last design relies on the key points of last curvature. Traditional plantar
pressure image segmentation methods are limited to their local and global minimization …

A variational level set model for multiscale image segmentation

H Zhang, L Tang, C He - Information Sciences, 2019 - Elsevier
In this paper, we propose a variational level set model for multiscale image segmentation
that can extract desired object from the background under various scales. The new model …

A robust and explainable structure-based algorithm for detecting the organ boundary from ultrasound multi-datasets

T Peng, Y Gu, J Zhang, Y Dong, G Di, W Wang… - Journal of Digital …, 2023 - Springer
Detecting the organ boundary in an ultrasound image is challenging because of the poor
contrast of ultrasound images and the existence of imaging artifacts. In this study, we …