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Praljak, N.
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Praljak, N.
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Praljak, N.
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Integrating deep learning with microfluidics for biophysical classification of sickle red blood cells adhered to laminin
by
Goreke, U.
,
Gurkan, U.A
,
Hill, A.
,
Hinczewski, M.
,
Iram, S.
,
Praljak
,
N
.
,
Singh, G.
Published 2021
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Related Subjects
Anemia, Sickle Cell
Article
Biophysical Phenomena
Computational Biology
Deep Learning
Diagnosis, Computer-Assisted
Erythrocyte Deformability
Erythrocytes, Abnormal
Hemoglobin, Sickle
High-Throughput Screening Assays
Humans
Image Interpretation, Computer-Assisted
In Vitro Techniques
Lab-On-A-Chip Devices
Laminin
Microfluidics
Neural Networks, Computer
Protein Multimerization
biology
biomechanics
biophysics
blood
blood sampling
chemistry
classification
computer assisted diagnosis
controlled study
deep learning
deep neural network
diagnostic imaging
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