Real-time data analysis for medical diagnosis using FPGA-accelerated neural networks

Real-time data analysis for medical diagnosis using FPGA-accelerated neural networks

Abstract Background Real-time analysis of patient data during medical procedures can provide vital diagnostic feedback that significantly improves chances of success. With sensors becoming increasingly fast, frameworks such as Deep Neural Networks are required to perform calculations within the stri...

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Bibliographic Details
Main Authors: Ahmed Sanaullah, Chen Yang, Yuri Alexeev, Kazutomo Yoshii, Martin C. Herbordt
Format: Article
Language:English
Published: BMC 2018-12-01
Series:BMC Bioinformatics
Subjects:
FPGA
Machine learning
Multi-layer perceptrons
Real-time
Inference
Cancer
Online Access:http://link.springer.com/article/10.1186/s12859-018-2505-7

Internet

http://link.springer.com/article/10.1186/s12859-018-2505-7

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