Sickle cell disease classification using deep learning

This paper presents a transfer and deep learning based approach to the classification of Sickle Cell Disease (SCD). Five transfer learning models such as ResNet-50, AlexNet, MobileNet, VGG-16 and VGG-19, and a sequential convolutional neural network (CNN) have been implemented for SCD classification...

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Detalles Bibliográficos
Autores principales: Jennifer, Sanjeda Sara, Shamim, Mahbub Hasan, Reza, Ahmed Wasif, Siddique, Nazmul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10692811/
https://www.ncbi.nlm.nih.gov/pubmed/38045118
http://dx.doi.org/10.1016/j.heliyon.2023.e22203

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10692811/
https://www.ncbi.nlm.nih.gov/pubmed/38045118
http://dx.doi.org/10.1016/j.heliyon.2023.e22203

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