Application of deep learning as an ancillary diagnostic tool for thyroid FNA cytology
Sign Up to like & getrecommendations! Published in 2022 at "Cancer Cytopathology"
DOI: 10.1002/cncy.22669
Abstract: Several studies have used artificial intelligence (AI) to analyze cytology images, but AI has yet to be adopted in clinical practice. The objective of this study was to demonstrate the accuracy of AI‐based image analysis… read more here.
Keywords: application; ancillary diagnostic; application deep; deep learning ... See more keywords
Application of deep learning in ecological resource research: Theories, methods, and challenges
Sign Up to like & getrecommendations! Published in 2020 at "Science China Earth Sciences"
DOI: 10.1007/s11430-019-9584-9
Abstract: Ecological resources are an important material foundation for the survival, development, and self-realization of human beings. In-depth and comprehensive research and understanding of ecological resources are beneficial for the sustainable development of human society. Advances… read more here.
Keywords: resource research; ecological resource; deep learning; application deep ... See more keywords
The application of deep learning in electrocardiogram: Where we came from and where we should go?
Sign Up to like & getrecommendations! Published in 2021 at "International journal of cardiology"
DOI: 10.1016/j.ijcard.2021.05.017
Abstract: Electrocardiogram (ECG) is a commonly-used, non-invasive examination recording cardiac voltage versus time traces over a period. Deep learning technology, a robust artificial intelligence algorithm, can imitate the data processing patterns of the human brain, and… read more here.
Keywords: learning electrocardiogram; electrocardiogram came; deep learning; application deep ... See more keywords
Application of deep learning methods in biological networks
Sign Up to like & getrecommendations! Published in 2021 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbaa043
Abstract: The increase in biological data and the formation of various biomolecule interaction databases enable us to obtain diverse biological networks. These biological networks provide a wealth of raw materials for further understanding of biological systems,… read more here.
Keywords: network; biological networks; deep learning; learning methods ... See more keywords
Application of deep neural network and deep reinforcement learning in wireless communication
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DOI: 10.1371/journal.pone.0235447
Abstract: Objective To explore the application of deep neural networks (DNNs) and deep reinforcement learning (DRL) in wireless communication and accelerate the development of the wireless communication industry. Method This study proposes a simple cognitive radio… read more here.
Keywords: deep neural; communication; power; rate ... See more keywords
Application of deep generative model for design of Pyrrolo[2,3-d] pyrimidine derivatives as new selective TANK binding kinase 1 (TBK1) inhibitors.
Sign Up to like & getrecommendations! Published in 2022 at "European journal of medicinal chemistry"
DOI: 10.2139/ssrn.4263815
Abstract: The deep conditional transformer neural network SyntaLinker was applied to identify compounds with pyrrolo[2,3-d]pyrimidine scaffold as potent selective TBK1 inhibitor. Further medicinal chemistry optimization campaign led to the discovery of the most potent compound 7l,… read more here.
Keywords: tbk1; chemistry; pyrrolo pyrimidine; application deep ... See more keywords
Client-Side Application of Deep Learning Models Through Teleradiology.
Sign Up to like & getrecommendations! Published in 2023 at "Studies in health technology and informatics"
DOI: 10.3233/shti230325
Abstract: Deep learning models for radiology are typically deployed either through cloud-based platforms, through on-premises infrastructures, or though heavyweight viewers. This tends to restrict the audience of deep learning models to radiologists working in state-of-the-art hospitals,… read more here.
Keywords: client side; learning models; application deep; deep learning ... See more keywords
Application of Deep Convolution Network Algorithm in Sports Video Hot Spot Detection
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Neurorobotics"
DOI: 10.3389/fnbot.2022.829445
Abstract: Sports videos are blowing up over the internet with enriching material life and the higher pursuit of spiritual life of people. Thus, automatically identifying and detecting helpful information from videos have arisen as a relatively… read more here.
Keywords: network; hpe model; sports videos; application deep ... See more keywords
Application of Deep Learning to IVC Filter Detection from CT Scans
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DOI: 10.3390/diagnostics12102475
Abstract: IVC filters (IVCF) perform an important function in select patients that have venous blood clots. However, they are usually intended to be temporary, and significant delay in removal can have negative health consequences for the… read more here.
Keywords: filter; application deep; ivc filter; deep learning ... See more keywords
Application of Deep Learning in the Deployment of an Industrial SCARA Machine for Real-Time Object Detection
Sign Up to like & getrecommendations! Published in 2022 at "Robotics"
DOI: 10.3390/robotics11040069
Abstract: In the spirit of innovation, the development of an intelligent robot system incorporating the basic principles of Industry 4.0 was one of the objectives of this study. With this aim, an experimental application of an… read more here.
Keywords: application; time; machine; application deep ... See more keywords