Enhancement of Ultrasound B-Mode Image Quality Using Nonlinear Filtered-Multiply-and-Sum Compounding for Improved Carotid Artery Segmentation
A Mohamed Moubark, L Nie, MH Mohd Zaman… - Diagnostics, 2023 - mdpi.com
In ultrasound B-mode imaging, the axial resolution (AR) is commonly determined by the
duration or bandwidth of an excitation signal. A shorter-duration pulse will produce better …
duration or bandwidth of an excitation signal. A shorter-duration pulse will produce better …
[PDF][PDF] Optimizing Workload Scheduling in Cloud Paradigm using Robust Neutrosophic C-Means Clustering Boosted with Fish School Search
SY Gandhi, T Revathi - WSEAS Transactions on Systems, 2024 - ir.psgcas.ac.in
In the present internet world, accessing cloud resources for a low cost, according to their
needs, is available to all users. Sharing resources is becoming increasingly necessary as …
needs, is available to all users. Sharing resources is becoming increasingly necessary as …
Automated Analysis of Ultrasound Images for the Assessment of Pelvic Floor Dysfunction
H Williams, J D'hooge, T Vercauteren, J Deprest - 2022 - lirias.kuleuven.be
Pelvic organ prolapse affects half of the women over 50, with one in four having disturbing
symptoms. Other pelvic floor dysfunctions are urinary incontinence and fecal incontinence …
symptoms. Other pelvic floor dysfunctions are urinary incontinence and fecal incontinence …
[PDF][PDF] Optimizing Workload Scheduling in Cloud Paradigm using Robust Neutrosophic C-Means Clustering Boosted with Fish School Search
S YUVARAJ GANDHI, T REVATHI - Work Scheduling, Uncertainty …, 2023 - ir.psgcas.ac.in
In the present internet world, accessing cloud resources for a low cost, according to their
needs, is available to all users. Sharing resources is becoming increasingly necessary as …
needs, is available to all users. Sharing resources is becoming increasingly necessary as …
[PDF][PDF] Clustering for Explainability: Extracting and Visualising Concepts from Activation
Despite significant advances in computer vision with deep learning models (eg
classification, detection, and segmentation), these models remain complex, making it …
classification, detection, and segmentation), these models remain complex, making it …