Paper Info
Title
HEp-2 Cell Classification via Combining Multiresolution Co-Occurrence Texture and Large Region Shape Information
Abstract
Indirect immunofluorescence imaging of human epithelial type 2 (HEp-2) cell image is an effective evidence to diagnose autoimmune diseases. Recently, computer-aided diagnosis of autoimmune diseases by the HEp-2 cell classification has attracted great attention. However, the HEp-2 cell classification task is quite challenging due to large intraclass and small interclass variations. In this paper, w...
Year
DOI
Venue
2017
10.1109/JBHI.2015.2508938
IEEE Journal of Biomedical and Health Informatics
Keywords
Field
DocType
Shape,Feature extraction,Histograms,Diseases,Indexes,Informatics,Pattern recognition
Histogram,Data mining,Computer science,Image processing,Artificial intelligence,Computer vision,Pairwise comparison,Binary pattern,Pattern recognition,Image texture,CONTEST,Co-occurrence,Feature extraction
Journal
Volume
Issue
ISSN
21
2
2168-2194
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Xianbiao Qi11038.25
Guoying Zhao23767166.92
Chun-Guang Li331017.35
Jun Guo41579137.24
Matti Pietikäinen514779739.80