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Deep cross residual network for HEp-2 cell staining pattern classification
Linlin Shen
, Xi Jia, Yuexiang Li
Research output
:
Journal Publication
›
Article
›
peer-review
37
Citations (Scopus)
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Dive into the research topics of 'Deep cross residual network for HEp-2 cell staining pattern classification'. Together they form a unique fingerprint.
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Keyphrases
Benchmark Dataset
20%
Cell Classification
40%
Cell Staining
100%
Computer-aided System
20%
Connection-based
20%
Convolutional Neural Network
20%
Cross-connection
20%
Epithelial Phenotype
100%
Image Processing
20%
Indirect Immunofluorescence Images
20%
Information Flow
20%
International Conference
100%
Network Layer
20%
Pattern Recognition
80%
Performance Gap
20%
Residual Block
20%
Residual Network
100%
Specialist Doctors
20%
Staining Patterns Classification
100%
Type II Cells
100%
Computer Science
Convolutional Neural Network
25%
Image Processing
25%
Network Layer
25%
Pattern Classification
100%
Pattern Recognition
100%
Performance Gap
25%
Residual Neural Network
100%
Engineering
Cell Classification
50%
Convolutional Neural Network
25%
Image Processing
25%
Layer Network
25%
Pattern Recognition
100%
Earth and Planetary Sciences
Image Processing
100%
State of the Art
100%