Computer Vision-Based Kidney’s (HK-2) Damaged Cells Classification with Reconfigurable Hardware Accelerator (FPGA)

Computer Vision-Based Kidney’s (HK-2) Damaged Cells Classification with Reconfigurable Hardware Accelerator (FPGA)

In medical and health sciences, the detection of cell injury plays an important role in diagnosis, personal treatment and disease prevention. Despite recent advancements in tools and methods for image classification, it is challenging to classify cell images with higher precision and accuracy. Cell...

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Bibliographic Details
Main Authors: Arfan Ghani, Rawad Hodeify, Chan H. See, Simeon Keates, Dah-Jye Lee, Ahmed Bouridane
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Electronics
Subjects:
artificial neural networks
cell classification
FPGAs
hardware accelerators
human kidney-damaged cells
Online Access:https://www.mdpi.com/2079-9292/11/24/4234

Internet

https://www.mdpi.com/2079-9292/11/24/4234

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