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
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;
Conference_Titel :
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2521-0
DOI :
10.1109/ICPR.2006.1069
