• norsk
    • English
  • English 
    • norsk
    • English
  • Login
View Item 
  •   Home
  • Nofima
  • Publikasjoner fra CRIStin
  • View Item
  •   Home
  • Nofima
  • Publikasjoner fra CRIStin
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Deep Convolutional Generative Adversarial Networks to Enhance Artificial Intelligence in Healthcare: A Skin Cancer Application

La Salvia, Marco; Torti, Emanuele; Leon, Raquel; Fabelo, Himar; Ortega, Samuel; Martinez-Vega, Beatriz; Callico, Gustavo M.; Leporati, Francesco
Peer reviewed, Journal article
Published version
Thumbnail
View/Open
sensors-22-06145.pdf (2.795Mb)
URI
https://hdl.handle.net/11250/3046116
Date
2022
Metadata
Show full item record
Collections
  • Artikler / Articles [1632]
  • Publikasjoner fra CRIStin [2758]
Original version
Sensors. 2022, 22 (16), 1-12.   10.3390/s22166145
Abstract
In recent years, researchers designed several artificial intelligence solutions for healthcare applications, which usually evolved into functional solutions for clinical practice. Furthermore, deep learning (DL) methods are well-suited to process the broad amounts of data acquired by wearable devices, smartphones, and other sensors employed in different medical domains. Conceived to serve the role of diagnostic tool and surgical guidance, hyperspectral images emerged as a non-contact, non-ionizing, and label-free technology. However, the lack of large datasets to efficiently train the models limits DL applications in the medical field. Hence, its usage with hyperspectral images is still at an early stage. We propose a deep convolutional generative adversarial network to generate synthetic hyperspectral images of epidermal lesions, targeting skin cancer diagnosis, and overcome small-sized datasets challenges to train DL architectures. Experimental results show the effectiveness of the proposed framework, capable of generating synthetic data to train DL classifiers.
Journal
Sensors

Contact Us | Send Feedback

Privacy policy
DSpace software copyright © 2002-2019  DuraSpace

Service from  Unit
 

 

Browse

ArchiveCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsDocument TypesJournalsThis CollectionBy Issue DateAuthorsTitlesSubjectsDocument TypesJournals

My Account

Login

Statistics

View Usage Statistics

Contact Us | Send Feedback

Privacy policy
DSpace software copyright © 2002-2019  DuraSpace

Service from  Unit