Conv-ViT: A Convolution and Vision Transformer-Based Hybrid Feature Extraction Method for Retinal Disease Detection

The current advancement towards retinal disease detection mainly focused on distinct feature extraction using either a convolutional neural network (CNN) or a transformer-based end-to-end deep learning (DL) model. The individual end-to-end DL models are capable of only processing texture or shape-ba...

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Detalles Bibliográficos
Autores principales: Dutta, Pramit, Sathi, Khaleda Akther, Hossain, Md. Azad, Dewan, M. Ali Akber
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10381782/
https://www.ncbi.nlm.nih.gov/pubmed/37504817
http://dx.doi.org/10.3390/jimaging9070140

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10381782/
https://www.ncbi.nlm.nih.gov/pubmed/37504817
http://dx.doi.org/10.3390/jimaging9070140

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