Sickle cell disease classification using deep learning

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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Bibliographic Details
Main Authors: Sanjeda Sara Jennifer, Mahbub Hasan Shamim, Ahmed Wasif Reza, Nazmul Siddique
Format: Article
Language:English
Published: Elsevier 2023-11-01
Series:Heliyon
Subjects:
Sickle cell disease
Classification
Ablation experiment
Deep learning model
Machine learning classifier
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844023094112

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