A deep convolutional neural network for classification of red blood cells in sickle cell anemia

A deep convolutional neural network for classification of red blood cells in sickle cell anemia

Sickle cell disease (SCD) is a hematological disorder leading to blood vessel occlusion accompanied by painful episodes and even death. Red blood cells (RBCs) of SCD patients have diverse shapes that reveal important biomechanical and bio-rheological characteristics, e.g. their density, fragility, a...

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Bibliographic Details
Main Authors: Xu, Mengjia, Zhao, Hong, Karniadakis, George Em, Papageorgiou, Dimitrios P., Abidi, Sabia, Dao, Ming
Other Authors: Massachusetts Institute of Technology. Center for Materials Science and Engineering
Format: Article
Published: Public Library of Science 2018
Online Access:http://hdl.handle.net/1721.1/113229
https://orcid.org/0000-0003-2678-4491
https://orcid.org/0000-0002-7508-4320

Internet

http://hdl.handle.net/1721.1/113229
https://orcid.org/0000-0003-2678-4491
https://orcid.org/0000-0002-7508-4320

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