Integrating deep learning with microfluidics for biophysical classification of sickle red blood cells adhered to laminin
Fig 3
A schematic of the transfer learning workflow used to train our classifier network. We employ the ResNet-50 architecture and start with weights pre-trained on the 1000 category reduced ImageNet ILSRVC database. The final fully connected learnable classification layer is swapped out for a 3 class classification layer suited to our problem.