Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Medical applications of generative adversarial network: a visualization analysis
10
Zitationen
4
Autoren
2023
Jahr
Abstract
GAN has been fully applied to the medical field and will be more deeply and widely used in clinical medicine, especially in the field of privacy protection and medical diagnosis. However, clinical applications of GAN require consideration of ethical and legal issues. GAN-based applications should be well validated by expert radiologists.
Ähnliche Arbeiten
A survey on deep learning in medical image analysis
2017 · 13.540 Zit.
Dermatologist-level classification of skin cancer with deep neural networks
2017 · 13.162 Zit.
A survey on Image Data Augmentation for Deep Learning
2019 · 11.776 Zit.
QuPath: Open source software for digital pathology image analysis
2017 · 8.141 Zit.
Radiomics: Images Are More than Pictures, They Are Data
2015 · 8.000 Zit.