A-LugSeg: Automatic and explainability-guided multi-site lung detection in chest X-ray images

T Peng, Y Gu, Z Ye, X Cheng, J Wang - Expert Systems with Applications, 2022 - Elsevier
Large variations in anatomical shape and size, too much overlap between anatomical
structures, and inconsistent anatomical shapes make accurate lung segmentation in chest x …

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 …

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 …

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 …

Interpretable mathematical model-guided ultrasound prostate contour extraction using data mining techniques

T Peng, J Zhao, J Wang - 2021 IEEE International Conference …, 2021 - ieeexplore.ieee.org
Among all image features, the contour is one of the most critical features for displaying the
shape of the object intuitively. Due to unseen/missing regions of transrectal ultrasound …

Preservation of dissipativity in dimensionality reduction

SV Stasenko, AN Kirdin - … in Nonlinear Science and Numerical Simulation, 2024 - Elsevier
Abstract Systems with predetermined Lyapunov functions play an important role in many
areas of applied mathematics, physics and engineering: dynamic optimization methods …

From principal curves to granular principal curves

H Zhang, W Pedrycz, D Miao… - IEEE transactions on …, 2013 - ieeexplore.ieee.org
Principal curves arising as an essential construct in dimensionality reduction and data
analysis have recently attracted much attention from theoretical as well as practical …

Improving the detection of the prostrate in ultrasound images using machine learning based image processing

T Peng, Y Wu, J Cai - 2022 IEEE 19th International Symposium …, 2022 - ieeexplore.ieee.org
This work aims to develop a method for accurate prostate segmentation in transrectal
ultrasound (TRUS) images. However, accurate prostate segmentation remains a …

Robust spherical principal curves

J Lee, HS Oh - Pattern Recognition, 2023 - Elsevier
Principal curves are a nonlinear generalization of principal components and go through the
mean of data lying in Euclidean space. In this paper, we propose L 1-type and Huber-type …

Delineation of Prostate Cancer Via Enhanced AI-Based Algorithm In Ultrasound Images

Y Ruan, R Jin, Z Liu, C Wang… - ICASSP 2024-2024 …, 2024 - ieeexplore.ieee.org
Delineation of prostate cancer (PCa) on ultrasound images has become an essential
technique for early PCa treatment, which still faces several challenges, such as low image …