FPGA Hardware Acceleration of AI Models for Real-Time Breast Cancer Classification

FPGA Hardware Acceleration of AI Models for Real-Time Breast Cancer Classification

Breast cancer detection is a critical task in healthcare, requiring fast, accurate, and efficient diagnostic tools. However, the high computational demands and latency of deep learning models in medical imaging present significant challenges, especially in resource-constrained environments. This pap...

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Bibliographic Details
Main Authors: Ayoub Mhaouch, Wafa Gtifa, Mohsen Machhout
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:AI
Subjects:
breast cancer
artificial intelligence
FPGA implementation
convolutional neural network
PYNQ Z2
hardware acceleration
Online Access:https://www.mdpi.com/2673-2688/6/4/76
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