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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2944676
Abstract: Gastrointestinal (GI) disease is one of the most common diseases and primarily examined by GI endoscopy. Recently, deep learning (DL), in particular convolutional neural networks (CNNs) have made achievements in GI endoscopy image analysis. This…
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Keywords:
analysis gastrointestinal;
analysis;
review applications;
applications deep ... See more keywords
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Published in 2020 at "Ultrasonography"
DOI: 10.14366/usg.20102
Abstract: In this review of the most recent applications of deep learning to ultrasound imaging, the architectures of deep learning networks are briefly explained for the medical imaging applications of classification, detection, segmentation, and generation. Ultrasonography…
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Keywords:
image;
image quality;
deep learning;
enhancement ... See more keywords
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Published in 2021 at "International Journal of Molecular Sciences"
DOI: 10.3390/ijms22116032
Abstract: The new advances in deep learning methods have influenced many aspects of scientific research, including the study of the protein system. The prediction of proteins’ 3D structural components is now heavily dependent on machine learning…
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Keywords:
protein;
recent applications;
deep learning;
learning methods ... See more keywords
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Published in 2021 at "Viruses"
DOI: 10.3390/v13061020
Abstract: Several recently developed high-throughput techniques have changed the field of molecular virology. For example, proteomics studies reveal complete interactomes of a viral protein, genome-wide CRISPR knockout and activation screens probe the importance of every single…
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Keywords:
deep mutational;
virology;
scanning virology;
mutational scanning ... See more keywords