[HTML][HTML] Deep learning for point-of-care ultrasound image quality enhancement: a review
HGA van der Pol, LM van Karnenbeek, M Wijkhuizen… - Applied Sciences, 2024 - mdpi.com
The popularity of handheld devices for point-of-care ultrasound (POCUS) has increased in
recent years due to their portability and cost-effectiveness. However, POCUS has the …
recent years due to their portability and cost-effectiveness. However, POCUS has the …
A modified particle swarm optimization algorithm for optimizing artificial neural network in classification tasks
Artificial neural networks (ANNs) have achieved great success in performing machine
learning tasks, including classification, regression, prediction, image processing, image …
learning tasks, including classification, regression, prediction, image processing, image …
Functional link convolutional neural network for the classification of diabetes mellitus
Diabetes is a faction of metabolic ailments distinguished by hyperglycemia which is the
consequence of a defect, in the action of insulin, insulin secretion, or both and producing …
consequence of a defect, in the action of insulin, insulin secretion, or both and producing …
Real-time automotive night-vision system for drivers to inhibit headlight glare of the oncoming vehicles and enhance road visibility
The vision problem of drivers during the night is mainly owing to the high-intensity headlight-
beam of the oncoming vehicle from the reverse direction. It causes temporary blindness to …
beam of the oncoming vehicle from the reverse direction. It causes temporary blindness to …
Adaptive threshold selection of anisotropic diffusion filters using spiking neural network model
M Kılıçaslan - Signal, Image and Video Processing, 2024 - Springer
Image denoising takes place as the first step in many image processing operations.
Anisotropic diffusion filters (ADFs) have remained popular for years because of their ability …
Anisotropic diffusion filters (ADFs) have remained popular for years because of their ability …
[HTML][HTML] Smoothing denoising method of spatial filtering image based on Contourlet transform
G Lu, K Li - Journal of Radiation Research and Applied Sciences, 2024 - Elsevier
This paper studies the threshold denoising problem of image in Contourlet transform
domain, and proposes a smoothing denoising method of spatial filtering image based on …
domain, and proposes a smoothing denoising method of spatial filtering image based on …
Liver Cancer Classification Using Single Pass Neural Networks Based on Ultrasound Images: A Review
Liver cancer is amongst the most cancer-related life threats worldwide. If not detected early,
most liver diseases can lead to liver cancer. Early diagnosis of the disease depends on the …
most liver diseases can lead to liver cancer. Early diagnosis of the disease depends on the …
Design of mobile communication image transmission compression algorithm based on convolutional neural network
Y Zhu - … International Conference on Physics, Photonics, and …, 2024 - spiedigitallibrary.org
With the popularization of mobile communication applications, image transmission plays an
increasingly important role in communication. However, due to the limitation of …
increasingly important role in communication. However, due to the limitation of …