DRSegNet: A cutting-edge approach to Diabetic Retinopathy segmentation and classification using parameter-aware Nature-Inspired optimization

Diabetic retinopathy (DR) is a prominent reason of blindness globally, which is a diagnostically challenging disease owing to the intricate process of its development and the human eye’s complexity, which consists of nearly forty connected components like the retina, iris, optic nerve, and so on. Th...

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Vydané v:	PloS one Ročník 19; číslo 12; s. e0312016
Hlavní autori:	Kamal, Sundreen Asad, Du, Youtian, Khalid, Majdi, Farrash, Majed, Dhelim, Sahraoui
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States Public Library of Science 05.12.2024 Public Library of Science (PLoS)
Predmet:	Algorithms Artificial intelligence Biology and Life Sciences Blindness Blood vessels Care and treatment Classification Clustering Complications and side effects Computer and Information Sciences Datasets Deep learning Diabetes Diabetes mellitus Diabetic retinopathy Diabetic Retinopathy - diagnosis Diabetic Retinopathy - diagnostic imaging Diagnosis Diagnostic imaging Disease Encoders-Decoders Exercise Generative adversarial networks Health aspects Humans Image analysis Image processing Image Processing, Computer-Assisted - methods Machine Learning Mammography Medical imaging Medicine and Health Sciences Methods Neural networks Neural Networks, Computer Optic nerve Physical Sciences Prevention Research and Analysis Methods Retina Retina - diagnostic imaging Retina - pathology Retinopathy Risk factors Sensitivity analysis Synthetic data Transfer learning China
ISSN:	1932-6203, 1932-6203
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