Prediction of ROP Zones Using Deep Learning Algorithms and Voting Classifier Technique

Retinopathy of prematurity (ROP) can cause blindness in premature neonates. It is diagnosed when new blood vessels form abnormally in the retina. However, people at high risk of ROP might benefit significantly from early detection and treatment. Therefore, early diagnosis of ROP is vital in averting...

Full description

Bibliographic Details
Main Authors:	Abdul Razzaq, A. (Author), Ahmed, S. (Author), Ben Halima, D. (Author), Hussein, N. (Author), Ksantini, M. (Author), Salih, N. (Author)
Format:	Article
Language:	English
Published:	Springer Science and Business Media B.V. 2023
Subjects:	Artificial intelligence Blood vessels Convolution Convolutional neural network Convolutional neural networks Deep convolutional neural network Deep convolutional neural networks Deep learning Deep neural networks Diagnosis Early diagnosis Eye protection Fundus image Fundus images Image classification Learning algorithms Learning systems Machine learning Machine-learning Premature neonates Retinopathy of prematurity Visual impairment Voting classifier Voting classifiers
Online Access:	View Fulltext in Publisher View in Scopus

Internet

View Fulltext in Publisher
View in Scopus

Prediction of ROP Zones Using Deep Learning Algorithms and Voting Classifier Technique

Internet

Similar Items