Classification of Red Blood Cell Rigidity from Sequence Data of Blood Flow Simulations Using Neural Networks

Classification of Red Blood Cell Rigidity from Sequence Data of Blood Flow Simulations Using Neural Networks

Numerical models for the flow of blood and other fluids can be used to design and optimize microfluidic devices computationally and thus to save time and resources needed for production, testing, and redesigning of the physical microfluidic devices. Like biological experiments, computer simulations...

Full description

Bibliographic Details
Main Authors: Katarína Bachratá, Katarína Buzáková, Michal Chovanec, Hynek Bachratý, Monika Smiešková, Alžbeta Bohiniková
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Symmetry
Subjects:
neural networks
microfluidic devices
red blood cells classification
sequential data
Online Access:https://www.mdpi.com/2073-8994/13/6/938

Internet

https://www.mdpi.com/2073-8994/13/6/938

Similar Items