DocumentCode
1587909
Title
Medical Image Description in Content-Based Image Retrieval
Author
Hong, Shao ; Wen-cheng, Cui ; Li, Tang
Author_Institution
Sch. of Inf. & Eng., Shenyang Univ. of Technol.
fYear
2006
Firstpage
6336
Lastpage
6339
Abstract
Medical image description is an important problem in content-based medical image retrieval. Hierarchical medical image semantic features description model is proposed according to the main sources to get semantic features currently. Based on it, medical image description model combining low-level features and semantic features is proposed. Experimental results show that additional text taking as part of semantic features improves the image retrieval precision and recall
Keywords
computerised tomography; content-based retrieval; image retrieval; medical image processing; text analysis; CT images; content-based image retrieval; hierarchical medical image semantic features description model; low-level features; medical image description; text taking; Biomedical imaging; Content based retrieval; DICOM; Data mining; Humans; Image databases; Image retrieval; Information retrieval; Medical diagnostic imaging; Spatial databases; content-based medical image retrieval; medical image description;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location
Shanghai
Print_ISBN
0-7803-8741-4
Type
conf
DOI
10.1109/IEMBS.2005.1615946
Filename
1615946
Link To Document