FPGA implementation of a Convolutional Neural Network for Alzheimer's disease classification

Salah, Souha Bel hadj; Chouchene, Marwa; Sayadi, Fatma Ezahra

doi:10.1109/ssd61670.2024.10549753

2024 21st International Multi-Conference on Systems, Signals &Amp;amp; Devices (SSD) 2024

DOI: 10.1109/ssd61670.2024.10549753

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FPGA implementation of a Convolutional Neural Network for Alzheimer's disease classification

Souha Bel hadj Salah,

Marwa Chouchene,

Fatma Ezahra Sayadi

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Malaria Cell Image Classification Using Compact Deep Learning Architectures on Jetson TX2

Alonso-Ramírez,

Barranco-Gutiérrez,

Méndez-Gurrola

et al. 2024

Technologies

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Malaria is a significant global health issue, especially in tropical regions. Accurate and rapid diagnosis is critical for effective treatment and reducing mortality rates. Traditional diagnostic methods, like blood smear microscopy, are time-intensive and prone to error. This study introduces a deep learning approach for classifying malaria-infected cells in blood smear images using convolutional neural networks (CNNs); Six CNN models were designed and trained using a large labeled dataset of malaria cell images, both infected and uninfected, and were implemented on the Jetson TX2 board to evaluate them. The model was optimized for feature extraction and classification accuracy, achieving 97.72% accuracy, and evaluated using precision, recall, and F1-score metrics and execution time. Results indicate deep learning significantly improves diagnostic time efficiency on embedded systems. This scalable, automated solution is particularly useful in resource-limited areas without access to expert microscopic analysis. Future work will focus on clinical validation.

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Malaria Cell Image Classification Using Compact Deep Learning Architectures on Jetson TX2

Alonso-Ramírez,

Barranco-Gutiérrez,

Méndez-Gurrola

et al. 2024

Technologies

View full text Add to dashboard Cite

show abstract

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FPGA implementation of a Convolutional Neural Network for Alzheimer's disease classification

Cited by 1 publication

References 6 publications

Malaria Cell Image Classification Using Compact Deep Learning Architectures on Jetson TX2

Malaria Cell Image Classification Using Compact Deep Learning Architectures on Jetson TX2

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