A deep convolutional neural network for classification of red blood cells in sickle cell anemia.
about
Concepts in Light Microscopy of Viruses.Classification of red blood cell shapes in flow using outlier tolerant machine learning.Simultaneous polymerization and adhesion under hypoxia in sickle cell diseaseAutomatic detection and counting of urediniospores of Puccinia striiformis f. sp. tritici using spore traps and image processing
P2860
A deep convolutional neural network for classification of red blood cells in sickle cell anemia.
description
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A deep convolutional neural ne ...... d cells in sickle cell anemia.
@en
A deep convolutional neural ne ...... d cells in sickle cell anemia.
@nl
type
label
A deep convolutional neural ne ...... d cells in sickle cell anemia.
@en
A deep convolutional neural ne ...... d cells in sickle cell anemia.
@nl
prefLabel
A deep convolutional neural ne ...... d cells in sickle cell anemia.
@en
A deep convolutional neural ne ...... d cells in sickle cell anemia.
@nl
P2093
P2860
P921
P1476
A deep convolutional neural ne ...... od cells in sickle cell anemia
@en
P2093
Dimitrios P Papageorgiou
Mengjia Xu
Sabia Z Abidi
P2860
P304
P356
10.1371/JOURNAL.PCBI.1005746
P577
2017-10-19T00:00:00Z