Image denoising via deep residual convolutional neural networks
Sign Up to like & getrecommendations! Published in 2021 at "Signal, Image and Video Processing"
DOI: 10.1007/s11760-019-01537-x
Abstract: Recently, convolutional neural network (CNN)-based methods have achieved impressive performance on image denoising. Notably, CNN with deeper and thinner structures is more flexible to extract the image details. However, direct stacking some existing networks is… read more here.
Keywords: deep residual; residual convolutional; denoising via; image ... See more keywords
Classification of multi-lead ECG with deep residual convolutional neural networks
Sign Up to like & getrecommendations! Published in 2022 at "Physiological Measurement"
DOI: 10.1088/1361-6579/ac7939
Abstract: Objective. Automatic electrocardiogram (ECG) interpretation based on deep learning methods is attracting increasing attention. In this study, we propose a novel method to accurately classify multi-lead ECGs using deep residual neural networks. Approach. ECG recordings… read more here.
Keywords: multi lead; neural networks; deep residual; convolutional neural ... See more keywords
Atrial Fibrillation Detection Using an Improved Multi-Scale Decomposition Enhanced Residual Convolutional Neural Network
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2926749
Abstract: Atrial fibrillation, the most common sustained arrhythmia, is still a big challenge for researchers in the medical field. Many studies attempt to realize intelligent classification of AF based on deep learning methods. However, many of… read more here.
Keywords: neural network; decomposition; multi scale; residual convolutional ... See more keywords
A Hybrid Workflow of Residual Convolutional Transformer Encoder for Breast Cancer Classification Using Digital X-ray Mammograms
Sign Up to like & getrecommendations! Published in 2022 at "Biomedicines"
DOI: 10.3390/biomedicines10112971
Abstract: Breast cancer, which attacks the glandular epithelium of the breast, is the second most common kind of cancer in women after lung cancer, and it affects a significant number of people worldwide. Based on the… read more here.
Keywords: cancer; classification; breast; breast cancer ... See more keywords