DocumentCode
2610503
Title
Spatial-HMM:A new approach for Semantic Annotation of Histological
Author
Yu, Feiyang ; Ip, Horace H S
Author_Institution
Dept. of Comput. Sci., City Univ. of Hong Kong, Kowloon
Volume
4
fYear
0
fDate
0-0 0
Firstpage
663
Lastpage
666
Abstract
This paper presents a new spatial-HMM for automatically classifying and annotating histological images. Our model is a 2D generalization of HMM. Given a matrix of feature vectors for all blocks in an image, the most appropriate semantic labels determined by our models are used for annotation. Our experimental results showed that our model is superior to HMM in both recognition and annotation accuracy
Keywords
biological organs; feature extraction; hidden Markov models; image classification; image coding; matrix algebra; medical image processing; feature vector matrix; gastrointestinal tract; histological images; image classification; semantic annotation; semantic labels; spatial hidden Markov models; Application software; Computer science; Esophagus; Gastrointestinal tract; Hidden Markov models; Image retrieval; Internet; Intestines; Multimedia computing; Stomach;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location
Hong Kong
ISSN
1051-4651
Print_ISBN
0-7695-2521-0
Type
conf
DOI
10.1109/ICPR.2006.1069
Filename
1699928
Link To Document