Deep Learning Approaches for Data Augmentation in Medical Imaging: A Review

Deep learning has become a popular tool for medical image analysis, but the limited availability of training data remains a major challenge, particularly in the medical field where data acquisition can be costly and subject to privacy regulations. Data augmentation techniques offer a solution by art...

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Bibliographic Details

Published in:	arXiv.org
Main Authors:	Aghiles Kebaili, Lapuyade-Lahorgue, Jérôme, Ruan, Su
Format:	Paper
Language:	English
Published:	Ithaca Cornell University Library, arXiv.org 24.07.2023
Subjects:	Algorithms Data acquisition Data augmentation Deep learning Generative adversarial networks Image analysis Image segmentation Machine learning Medical imaging Training
ISSN:	2331-8422
Online Access:	Get full text
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