Denoising adversarial autoencoders: classifying skin lesions using limited labelled training data

Denoising adversarial autoencoders: classifying skin lesions using limited labelled training data

The authors propose a novel deep learning model for classifying medical images in the setting where there is a large amount of unlabelled medical data available, but the amount of labelled data is limited. They consider the specific case of classifying skin lesions as either benign or malignant. In...

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Bibliographic Details
Main Authors: Antonia Creswell, Alison Pouplin, Anil A. Bharath
Format: Article
Language:English
Published: Wiley 2018-12-01
Series:IET Computer Vision
Subjects:
adversarial autoencoder
skin lesions
labelled training data
deep learning model
classifying medical images
unlabelled medical data
Online Access:https://doi.org/10.1049/iet-cvi.2018.5243

Internet

https://doi.org/10.1049/iet-cvi.2018.5243

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