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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Hlavní autoři:	Ayoub Mhaouch, Wafa Gtifa, Mohsen Machhout
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2025-04-01
Edice:	AI
Témata:	breast cancer artificial intelligence FPGA implementation convolutional neural network PYNQ Z2 hardware acceleration
On-line přístup:	https://www.mdpi.com/2673-2688/6/4/76
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