Results 231 to 240 of about 128,746 (262)

A holistic framework for intradialytic hypotension prediction using generative adversarial networks-based data balancing. [PDF]

BMC Med Inform Decis Mak
Lin HM, Lyu J.
europepmc   +1 more source

Adaptive identity-regularized generative adversarial networks with species-specific loss functions for enhanced fish classification and segmentation through data augmentation. [PDF]

Sci Rep
Marie HS, Draz MM, Elkhalik WA, Elbaz M.
europepmc   +1 more source

Exploring Bioimage Synthesis and Detection via Generative Adversarial Networks: A Multi-Faceted Case Study. [PDF]

J Imaging
Sorgente V, Biagiucci D, Cesarelli M, Brunese L, Santone A, Martinelli F, Mercaldo F.   +6 more
europepmc   +1 more source

CitrusGAN: sparse-view X-ray CT reconstruction for citrus based on generative adversarial networks. [PDF]

Plant Phenomics
Xiang H, Xu Z, Yu Y, Yang J, Li S, Chen Y.   +5 more
europepmc   +1 more source

A modified generative adversarial networks method for assisting the diagnosis of deep venous thrombosis complications in stroke patients. [PDF]

Sci Rep
Wang Y, Wang K, Hou J, Ye Z, Lin C, Li X.   +5 more
europepmc   +1 more source

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Generative Adversarial Networks in Cardiology

Canadian Journal of Cardiology, 2022
Generative adversarial networks (GANs) are state-of-the-art neural network models used to synthesise images and other data. GANs brought a considerable improvement to the quality of synthetic data, quickly becoming the standard for data-generation tasks.
Skandarani, Youssef, Lalande, Alain, Afilalo, Jonathan, Jodoin, Pierre-Marc   +3 more
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Generative Adversarial Networks

2018
For many AI projects, deep learning techniques are increasingly being used as the building blocks for innovative solutions ranging from image classification to object detection, image segmentation, image similarity, and text analytics (e.g., sentiment analysis, key phrase extraction). GANs, first introduced by Goodfellow et al.
Mathew Salvaris, Danielle Dean, Wee Hyong Tok   +2 more
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Generative Adversarial Network

2020
Generative adversarial networks (GANs) are a type of deep learning model designed by Ian Goodfellow and his colleagues in 2014.
openaire   +1 more source