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...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Journal of imaging Ročník 9; číslo 4; s. 81
Hlavní autoři:	Kebaili, Aghiles, Lapuyade-Lahorgue, Jérôme, Ruan, Su
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Switzerland MDPI AG 01.04.2023 MDPI
Témata:	Algorithms Data acquisition Data augmentation Deep learning Diagnostic imaging diffusion models Electronic data processing Generative adversarial networks generative models Image analysis Image processing Image segmentation Life Sciences Machine learning Medical imaging Methods Review Technology application Tomography Training variational autoencoders France generative models deep learning variational autoencoders data augmentation diffusion models medical imaging
ISSN:	2313-433X, 2313-433X
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!