A Low Memory Requirement MobileNets Accelerator Based on FPGA for Auxiliary Medical Tasks

A Low Memory Requirement MobileNets Accelerator Based on FPGA for Auxiliary Medical Tasks

Convolutional neural networks (CNNs) have been widely applied in the fields of medical tasks because they can achieve high accuracy in many fields using a large number of parameters and operations. However, many applications designed for auxiliary checks or help need to be deployed into portable dev...

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Bibliographic Details
Main Authors: Yanru Lin, Yanjun Zhang, Xu Yang
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Bioengineering
Subjects:
convolutional neural network
FPGA
hardware accelerator
MobileNetV2
auxiliary medical tasks
Online Access:https://www.mdpi.com/2306-5354/10/1/28

Internet

https://www.mdpi.com/2306-5354/10/1/28

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