Performance evaluation of 67 denoising filters in ultrasound images: A systematic comparison analysis
Noise corrupts ultrasound images and degrades spatial and contrast resolutions. Hence, it is
challenging to characterize the lesions precisely using ultrasound images. The present …
challenging to characterize the lesions precisely using ultrasound images. The present …
Analysis of digital filters used in time-series small heat flux measurement
G Liu, T Xiong, G Yan, J Yu - Applied Thermal Engineering, 2022 - Elsevier
Noise fluctuation is the most common issue of small heat flux measurement and it disturbs
the measurement precision. In the previous studies, how to select an appropriate filter and …
the measurement precision. In the previous studies, how to select an appropriate filter and …
AdaRes: A deep learning‐based model for ultrasound image denoising: Results of image quality metrics, radiomics, artificial intelligence, and clinical studies
A Abbasian Ardakani, A Mohammadi… - Journal of Clinical …, 2024 - Wiley Online Library
Purpose The quality of ultrasound images is degraded by speckle and Gaussian noises.
This study aims to develop a deep‐learning (DL)‐based filter for ultrasound image …
This study aims to develop a deep‐learning (DL)‐based filter for ultrasound image …
[PDF][PDF] Accurate diagnosis of liver diseases through the application of deep convolutional neural network on biopsy images.
Accurate diagnosis of liver diseases through the application of deep convolutional neural
network on biopsy images Page 1 AIMS Biophysics, 10(4): 453–481. DOI: 10.3934/biophy.2023026 …
network on biopsy images Page 1 AIMS Biophysics, 10(4): 453–481. DOI: 10.3934/biophy.2023026 …
Entropy Kernel Graph Cut Feature Space Enhancement with SqueezeNet Deep Neural Network for Textural Image Segmentation
Recently, image segmentation based on graph cut methods has shown remarkable
performance on a set of image data. Although the kernel graph cut method provides good …
performance on a set of image data. Although the kernel graph cut method provides good …
[HTML][HTML] An area of greatest vulnerability-Recent advances in kidney injury
AA Kattner - biomedical journal, 2022 - Elsevier
In this issue of the Biomedical Journal the reader is provided with an insight into the latest
observations and advances in acute kidney injury as well as chronic kidney disease. The …
observations and advances in acute kidney injury as well as chronic kidney disease. The …