[HTML][HTML] Evaluation of deep convolutional generative adversarial networks for data augmentation of chest x-ray images

S Kora Venu, S Ravula - Future Internet, 2020 - mdpi.com
Medical image datasets are usually imbalanced due to the high costs of obtaining the data
and time-consuming annotations. Training a deep neural network model on such datasets to …

Evaluation of Deep Convolutional Generative Adversarial Networks for data augmentation of chest X-ray images

SK Venu - arXiv preprint arXiv:2009.01181, 2020 - arxiv.org
Medical image datasets are usually imbalanced, due to the high costs of obtaining the data
and time-consuming annotations. Training deep neural network models on such datasets to …

Evaluation of Deep Convolutional Generative Adversarial Networks for Data Augmentation of Chest X-ray Images.

S Kora Venu, S Ravula - Future Internet, 2021 - search.ebscohost.com
Medical image datasets are usually imbalanced due to the high costs of obtaining the data
and time-consuming annotations. Training a deep neural network model on such datasets to …

Evaluation of Deep Convolutional Generative Adversarial Networks for Data Augmentation of Chest X-ray Images

SK Venu, S Ravula - Future Internet, 2020 - econpapers.repec.org
Medical image datasets are usually imbalanced due to the high costs of obtaining the data
and time-consuming annotations. Training a deep neural network model on such datasets to …

Evaluation of Deep Convolutional Generative Adversarial Networks for data augmentation of chest X-ray images

S Kora Venu - arXiv e-prints, 2020 - ui.adsabs.harvard.edu
Medical image datasets are usually imbalanced, due to the high costs of obtaining the data
and time-consuming annotations. Training deep neural network models on such datasets to …

Evaluation of Deep Convolutional Generative Adversarial Networks for Data Augmentation of Chest X-ray Images

SK Venu, S Ravula - Future Internet, 2020 - ideas.repec.org
Medical image datasets are usually imbalanced due to the high costs of obtaining the data
and time-consuming annotations. Training a deep neural network model on such datasets to …