Cell dynamic morphology classification using deep convolutional neural networks-Reference-Cited by-同舟云学术

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Cell dynamic morphology classification using deep convolutional neural networks

Published:2018-05-15 Issue:6 Volume:93 Page:628-638
ISSN:1552-4922
Container-title:Cytometry Part A
language:en
Short-container-title:Cytometry

Author:

Li Heng¹,Pang Fengqian¹,Shi Yonggang¹,Liu Zhiwen¹

Affiliation:

1. School of Information and Electronics; Beijing Institute of Technology; Beijing 100081 China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Cell Biology,Histology,Pathology and Forensic Medicine

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/cyto.a.23490/fullpdf

Reference30 articles.

1. Effects of laser peripheral iridotomy on corneal endothelial cell density and cell morphology in primary angle closure suspect subjects;Sabouri;J Ophthal Vision Res,2017

2. Microtubule organization is determined by the shape of epithelial cells;Gomez;Nat Commun,2016

3. Coupling changes in cell shape to chromosome segregation;Ramkumar;Nat Rev Mol Cell Biol,2016

4. Large-scale tracking and classification for automatic analysis of cell migration and proliferation, and experimental optimization of high-throughput screens of neuroblastoma cells;Harder;Cytometry Part A,2015

5. Cell morphology based classification for red cells in blood smear images;Lee;Pattern Recogn Lett,2014

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