The expanding role of artificial intelligence in collaborative robots for industrial applications: A systematic review of recent works

A Borboni, KVV Reddy, I Elamvazuthi, MS AL-Quraishi… - Machines, 2023 - mdpi.com
A collaborative robot, or cobot, enables users to work closely with it through direct
communication without the use of traditional barricades. Cobots eliminate the gap that has …

Automated localization and segmentation techniques for B-mode ultrasound images: A review

KM Meiburger, UR Acharya, F Molinari - Computers in biology and …, 2018 - Elsevier
B-mode ultrasound imaging is used extensively in medicine. Hence, there is a need to have
efficient segmentation tools to aid in computer-aided diagnosis, image-guided interventions …

An efficient prediction system for coronary heart disease risk using selected principal components and hyperparameter optimization

KVV Reddy, I Elamvazuthi, AA Aziz, S Paramasivam… - Applied Sciences, 2022 - mdpi.com
Medical science-related studies have reinforced that the prevalence of coronary heart
disease which is associated with the heart and blood vessels has been the most significant …

Imbalanced loss-integrated deep-learning-based ultrasound image analysis for diagnosis of rotator-cuff tear

K Lee, JY Kim, MH Lee, CH Choi, JY Hwang - Sensors, 2021 - mdpi.com
A rotator cuff tear (RCT) is an injury in adults that causes difficulty in moving, weakness, and
pain. Only limited diagnostic tools such as magnetic resonance imaging (MRI) and …

An automated method for tendon image segmentation on ultrasound using grey-level co-occurrence matrix features and hidden Gaussian Markov random fields

I Scott, D Connell, D Moulton, S Waters… - Computers in Biology …, 2024 - Elsevier
Background: Despite knowledge of qualitative changes that occur on ultrasound in
tendinopathy, there is currently no objective and reliable means to quantify the severity or …

Capsule network-based classification of rotator cuff pathologies from MRI

A Sezer, HB Sezer - Computers & Electrical Engineering, 2019 - Elsevier
Rotator cuff lesions are very frequent events. The diagnosis of these lesions is challenging
and requires experience. The goal of this study is to develop a computer aided diagnosis …

Comparison of multifidus muscle intramuscular fat by ultrasound echo intensity and fat-water based MR images in individuals with chronic low back pain

J Crook, S Masi, N Naghdi, A Roussac, M Rye… - … Science and Practice, 2023 - Elsevier
Purpose The aim of this observational cross-sectional study was to examine correlations of
intramuscular fat content in lumbar multifidus (LM) by comparing muscle echo intensity (EI) …

Using convolutional neural network for edge detection in musculoskeletal ultrasound images

SI Jabbar, CR Day, N Heinz… - 2016 international joint …, 2016 - ieeexplore.ieee.org
Fast and accurate segmentation of musculoskeletal ultrasound images is an on-going
challenge. Two principal factors make this task difficult: firstly, the presence of speckle noise …

A Systematic Survey on Segmentation Algorithms for Musculoskeletal Tissues in Ultrasound Imaging

AH Ramakrishnan, M Rajappa, K Kirthivasan… - … Methods in Engineering, 2024 - Springer
Ultrasound imaging is widely used for the clinical assessment and study of musculoskeletal
tissues because of its capacity for real-time imaging, low cost, high availability and …

A comparison of point-tracking algorithms in ultrasound videos from the upper limb

U Magana-Salgado, P Namburi… - BioMedical Engineering …, 2023 - Springer
Tracking points in ultrasound (US) videos can be especially useful to characterize tissues in
motion. Tracking algorithms that analyze successive video frames, such as variations of …