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Medical image segmentation using deep semantic-based methods: A review of techniques, applications and emerging trends
Semantic-based segmentation (Semseg) methods play an essential part in medical imaging
analysis to improve the diagnostic process. In Semseg technique, every pixel of an image is …
analysis to improve the diagnostic process. In Semseg technique, every pixel of an image is …
[HTML][HTML] A comprehensive review of computer vision in sports: Open issues, future trends and research directions
Recent developments in video analysis of sports and computer vision techniques have
achieved significant improvements to enable a variety of critical operations. To provide …
achieved significant improvements to enable a variety of critical operations. To provide …
Concrete crack detection using lightweight attention feature fusion single shot multibox detector
W Zhu, H Zhang, J Eastwood, X Qi, J Jia… - Knowledge-Based Systems, 2023 - Elsevier
As one of the most important defects of concrete, cracks seriously threaten the service life
and safety of concrete structures, and various safety incidents caused by the collapse of …
and safety of concrete structures, and various safety incidents caused by the collapse of …
A review on deep-learning algorithms for fetal ultrasound-image analysis
MC Fiorentino, FP Villani, M Di Cosmo, E Frontoni… - Medical image …, 2023 - Elsevier
Deep-learning (DL) algorithms are becoming the standard for processing ultrasound (US)
fetal images. A number of survey papers in the field is today available, but most of them are …
fetal images. A number of survey papers in the field is today available, but most of them are …
Multi-objective design of the energy storage-based combined heat and power off-grid system to supply of thermal and electricity consumption energies
SM Rashid, A Zare-Ghaleh-Seyyedi… - Journal of Energy …, 2023 - Elsevier
Simultaneous consumption of electrical and thermal energy management, together with
economic and technical advantages of close-to-consumption feeding of consumers, has …
economic and technical advantages of close-to-consumption feeding of consumers, has …
M3-uda: a new benchmark for unsupervised domain adaptive fetal cardiac structure detection
The anatomical structure detection of fetal cardiac views is crucial for diagnosing fetal
congenital heart disease. In practice there is a large domain gap between different hospitals' …
congenital heart disease. In practice there is a large domain gap between different hospitals' …
A synthetic minority oversampling technique based on Gaussian mixture model filtering for imbalanced data classification
Data imbalance is a common phenomenon in machine learning. In the imbalanced data
classification, minority samples are far less than majority samples, which makes it difficult for …
classification, minority samples are far less than majority samples, which makes it difficult for …
Chebyshev polynomial-based fog computing scheme supporting pseudonym revocation for 5G-enabled vehicular networks
ZG Al-Mekhlafi, MA Al-Shareeda, S Manickam… - Electronics, 2023 - mdpi.com
The privacy and security of the information exchanged between automobiles in 5G-enabled
vehicular networks is at risk. Several academics have offered a solution to these problems in …
vehicular networks is at risk. Several academics have offered a solution to these problems in …
MobileUNet-FPN: A semantic segmentation model for fetal ultrasound four-chamber segmentation in edge computing environments
The apical four-chamber (A4C) view in fetal echocardiography is a prenatal examination
widely used for the early diagnosis of congenital heart disease (CHD). Accurate …
widely used for the early diagnosis of congenital heart disease (CHD). Accurate …
Advances in machine learning-assisted SERS sensing towards food safety and biomedical analysis
Surface-enhanced Raman scattering, has extensive applications in the fields of medicine
and food due to its high-sensitivity, speed, non-destructive nature, and cost-effectiveness …
and food due to its high-sensitivity, speed, non-destructive nature, and cost-effectiveness …