Retinal (Glaucoma) Image Synthesis: Using Traditional and Advanced Data Augmentation Techniques - Couverture souple

Yerrarapu, Sravani Devi

 
9786206737384: Retinal (Glaucoma) Image Synthesis: Using Traditional and Advanced Data Augmentation Techniques
Couverture souple
ISBN 10 : 6206737381 ISBN 13 : 9786206737384
Editeur : LAP LAMBERT Academic Publishing, 2023

Synopsis

The human eye is an organ that reacts to light and pressure. Many diseases, disorders, and age-related changes may affect the eyes and surrounding structures. One of the eye diseases is glaucoma. Glaucoma is a condition in which fluid pressure rises within the eye. Without treatment, it can damage the optic nerve and lead to vision loss. The early detection of glaucoma minimizes the risk of vision loss. The proposed model synthesizes highly realistic controllable fundus images to obtain precision in detecting glaucoma through a deep learning model.A generative adversarial network (GAN) is an unsupervised machine learning technique that can be used to augment datasets and yield collected images to be indistinguishable from real-world data. The Deep Convolutional GAN (DCGAN), another variant of GAN, suggests the architectural constraints on the model required to develop high-quality generator models effectively. The enhanced dataset, obtained from data augmentation and the original ACRIMA dataset of fundus images, are separately given to the CNN classification model for detecting glaucoma disease.

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Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2023
Langue
anglais
ISBN 10 
6206737381
ISBN 13 
9786206737384
Reliure
Broché
Nombre de pages
60
Coordonnées du fabricant
non disponible
Personne responsable
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