HEp-2 cell classification based on a Deep Autoencoding-Classification convolutional neural network

Proceedings - International Symposium on Biomedical Imaging

Volumn , Issue , 2017, Pages 1019-1023

  Liu, Jingxin ^a   Xu, Bolei ^a   Shen, Linlin ^b   Garibaldi, Jon ^c   Qiu, Guoping ^a,c  

^a UNIVERSITY OF NOTTINGHAM NINGBO CHINA   (China)

^b SHENZHEN UNIVERSITY   (China)

^c UNIVERSITY OF NOTTINGHAM   (United Kingdom)

Author keywords

Autoencoder; Classification; Convolutional neural networks; HEp2 cells; Indirect immunofluorescence

Indexed keywords

CELLS; CLASSIFICATION (OF INFORMATION); CONVOLUTION; CYTOLOGY; DEEP LEARNING; EDUCATION; IMAGE RECONSTRUCTION; LEARNING SYSTEMS; MEDICAL IMAGING; NETWORK ARCHITECTURE; NEURAL NETWORKS;

AUTO ENCODERS; CLASSIFICATION ERRORS; CLASSIFICATION NETWORKS; CONVOLUTIONAL NEURAL NETWORK; HEP-2 CELLS; IMAGING APPLICATIONS; INDIRECT IMMUNOFLUORESCENCE; MULTITASK LEARNING;

DEEP NEURAL NETWORKS;

EID: 85023168524     PISSN: 19457928     EISSN: 19458452     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2017.7950689     Document Type: Conference Paper

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