Exploiting the Generative Adversarial Network Approach to Create a Synthetic Topography Corneal Image

Exploiting the Generative Adversarial Network Approach to Create a Synthetic Topography Corneal Image

Corneal diseases are the most common eye disorders. Deep learning techniques are used to perform automated diagnoses of cornea. Deep learning networks require large-scale annotated datasets, which is conceded as a weakness of deep learning. In this work, a method for synthesizing medical images usin...

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Bibliographic Details
Main Authors: Samer Kais Jameel, Sezgin Aydin, Nebras H. Ghaeb, Jafar Majidpour, Tarik A. Rashid, Sinan Q. Salih, Poh Soon JosephNg
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Biomolecules
Subjects:
conditional generative adversarial networks
transfer learning
synthesize images
corneal diseases
data augmentation
Online Access:https://www.mdpi.com/2218-273X/12/12/1888

Internet

https://www.mdpi.com/2218-273X/12/12/1888

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