Article

Data Augmentation Using Generative Adversarial Networks (GANs) For GAN-Based Detection Of Pneumonia And COVID-19 In Chest X-Ray Images

2021-01-16

Abstract excerpt

Successful training of convolutional neural networks (CNNs) requires a substantial amount of data. With small datasets networks generalize poorly. Data Augmentation techniques improve the generalizability of neural networks by using existing training data more effectively. Standard data augmentation methods, however, produce limited plausible alternative data. Generative Adversarial Networks (GANs) have been utili...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 00fd818d-df61-5a50-84ab-e63bf0f16106
DOI: 10.21203/rs.3.rs-146161/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Data Augmentation Using Generative Adversarial Networks (GANs) For GAN-Based Detection Of Pneumonia And COVID-19 In Chest X-Ray ImagesDOI 10.21203/rs.3.rs-146161/v1Read

Data Augmentation using Generative Adversarial Network with Enhanced Deep Convolutional Neural Network for Pneumonia Chest X-ray ImagesSemantic proximity Read

Detection of Covid-19 Cases Using Gan (Generative Adversarial Network)Semantic proximity Read

Cross-Modality Synthetic Data Augmentation using GANs: Enhancing Brain MRI and Chest X-ray ClassificationSemantic proximity Read

COVID-19 detection and disease progression visualization: Deep learning on chest X-rays for classification and coarse localizationSemantic proximity Read

Improved COVID-19 detection using data augmentation Deep Convolution GAN and classifier DenseNet.Semantic proximity Read

Improving effectiveness of different deep learning-based models for detecting COVID-19 from computed tomography (CT) imagesSemantic proximity Read

Transformative Approach for Prediction of Lung Disease Using Lung X-ray ImagesSemantic proximity Read

Deep Learning Based Lung Segmentation with Data Augmentation in Diseased LungsSemantic proximity Read

Improving the generalization of Deep Learning Classification Models in Medical Imaging using Transfer Learning and Generative Adversarial NetworksSemantic proximity Read

COVIDScreen: Explainable deep learning framework for differential diagnosis of COVID-19 using chest X-RaysSemantic proximity Read

Generative Adversarial Networks (GANs) for Medical Image Synthesis and Data AugmentationSemantic proximity Read

MedGAN-Net:a computer-aided diagnosis approach based on deep learning for COVID-19 with CT imagesSemantic proximity Read