Machine Learning Enabled Leukocyte Quantification Using Smartphone Coupled 3D Printed Microfluidic Biosensor

Author:

Govindaraju Harshitha1,Sami Muhammad Ahsan1ORCID,Hassan Umer1ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, Rutgers, The State University of New Jersey, Piscataway, NJ, USA

Funder

Department of Electrical and Computer Engineering, Global Health Institute at Rutgers, The State University of New Jersey

New Jersey Health Foundation

National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

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4. A deep learning approach to the screening of malaria infection: Automated and rapid cell counting, object detection and instance segmentation using Mask R-CNN

5. Improved detection performance in blood cell count by an attention-guided deep learning method

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