A survey on deep learning for polyp segmentation: Techniques, challenges and future trends
Early detection and assessment of polyps play a crucial role in the prevention and treatment
of colorectal cancer (CRC). Polyp segmentation provides an effective solution to assist …
of colorectal cancer (CRC). Polyp segmentation provides an effective solution to assist …
CASMatching strategy for automated detection and quantification of carotid artery stenosis based on digital subtraction angiography
A Wulamu, J Luo, S Chen, H Zheng, T Wang… - Computer Methods and …, 2024 - Elsevier
Background and objective Automated detection and quantification of carotid artery stenosis
is a crucial task in establishing a computer-aided diagnostic system for brain diseases …
is a crucial task in establishing a computer-aided diagnostic system for brain diseases …
Fuzzy control of singular fractional order multi-agent systems with actuator saturation
Y Wang, JX Zhang, X Zhang - Information Sciences, 2024 - Elsevier
In this paper, a TS fuzzy model is established to describe nonlinear fuzzy singular fractional
order multi-agent systems (SFOMASs) exhibiting actuator saturation when the order is …
order multi-agent systems (SFOMASs) exhibiting actuator saturation when the order is …
Agent-based systems in healthcare
Abstract This Special Issue is dedicated to discussing which are the advantages, challenges
and open issues in the application of the agent-based approach as a part of the digital …
and open issues in the application of the agent-based approach as a part of the digital …
[PDF][PDF] An Improved Algorithm of Image Edge Detection Based On The Degree Connection Situation
G Ji, Y Tian, X Cheng - Journal of Data Science and …, 2024 - ojs.bonviewpress.com
Aiming at the defect of the poor ability to suppress the noise of the algorithm of image edge
detection, as well as too much sensitive to the noise, an improved algorithm of image edge …
detection, as well as too much sensitive to the noise, an improved algorithm of image edge …
[PDF][PDF] An Efficient Local Radial Basis Function Method for Image Segmentation Based on the Chan-Vese Model.
S Qiu, C Lin, W Zhao - CMES-Computer Modeling in …, 2024 - cdn.techscience.cn
In this paper, we consider the Chan–Vese (CV) model for image segmentation and obtain its
numerical solution accurately and efficiently. For this purpose, we present a local radial …
numerical solution accurately and efficiently. For this purpose, we present a local radial …
Multimodal Biometric Authentication System using Probabilistic Fuzzy based Tuna Search Optimization
SL Sajja, S Mukesh, AHA Hussein… - 2023 International …, 2023 - ieeexplore.ieee.org
The biometric system plays a maj or role in data security with better growth rate. The
multimodal biometric system with better accuracy and the rate of recognition still acts as the …
multimodal biometric system with better accuracy and the rate of recognition still acts as the …
Optimization of Deep Learning Algorithms for Image Segmentation in High-Dimensional Data Environments.
H Sun - Traitement du Signal, 2023 - search.ebscohost.com
As image segmentation tasks become increasingly intricate within high-dimensional data
flow environments, conventional segmentation techniques are challenged in delivering both …
flow environments, conventional segmentation techniques are challenged in delivering both …
Selective Image Segmentation and Tissue at Risk Assessment in Perfusion Weighted Imaging
SS Bal - 2023 - search.proquest.com
Perfusion-weighted imaging (PWI) is a noninvasive Magnetic Resonance (MR)/Computed
Tomography (CT) technique that assesses various hemodynamic parameters to examine …
Tomography (CT) technique that assesses various hemodynamic parameters to examine …