Skip to main navigation
Skip to search
Skip to main content
University of Nottingham Ningbo China Home
Home
Profiles
Research units
Research output
Projects
Prizes
Activities
Press/Media
Impacts
Student theses
Search by expertise, name or affiliation
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)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Deep cross residual network for HEp-2 cell staining pattern classification'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
International Conference
100%
Staining Patterns Classification
100%
Type II Cells
100%
Cell Staining
100%
Epithelial Phenotype
100%
Residual Network
100%
Pattern Recognition
80%
Cell Classification
40%
Convolutional Neural Network
20%
Benchmark Dataset
20%
Information Flow
20%
Image Processing
20%
Performance Gap
20%
Residual Block
20%
Indirect Immunofluorescence Images
20%
Network Layer
20%
Connection-based
20%
Cross-connection
20%
Specialist Doctors
20%
Computer-aided System
20%
Computer Science
Residual Neural Network
100%
Pattern Classification
100%
Pattern Recognition
100%
Convolutional Neural Network
25%
Image Processing
25%
Performance Gap
25%
Network Layer
25%
Engineering
Pattern Recognition
100%
Cell Classification
50%
Convolutional Neural Network
25%
Image Processing
25%
Layer Network
25%
Earth and Planetary Sciences
State of the Art
100%
Image Processing
100%