Automatic extraction of semantic concepts in medical images

Author

Park, Mira ; Ramamohanarao, Kotagiri

Author_Institution

Dept. of Comput. Sci. & Software Eng., Melbourne Univ., Vic., Australia

Volume

2

fYear

2004

fDate

24-27 Oct. 2004

Firstpage

1157

Abstract

A novel automatic system for extracting the semantic descriptions of medical image content and concept in text form is presented. We first extract and analyze image features and the features are mapped to semantic descriptions by fuzzy functions. Based on these semantic descriptions, our system facilitates knowledge base construction using a machine learning scheme. The result would be useful for other researchers in medical image retrieval area, who can take advantage of both text-based queries and image queries.

Keywords

content-based retrieval; feature extraction; fuzzy logic; image reconstruction; image retrieval; learning (artificial intelligence); medical image processing; automatic system; fuzzy function; image feature; image query; knowledge base construction; machine learning scheme; medical image content; medical image retrieval area; semantic description extraction; text-based query; Biomedical imaging; Diseases; Feature extraction; Image analysis; Image processing; Image retrieval; Image texture analysis; Lungs; Medical diagnostic imaging; Radiography;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2004. ICIP '04. 2004 International Conference on

ISSN

1522-4880

Print_ISBN

0-7803-8554-3

Type

conf

DOI

10.1109/ICIP.2004.1419509

Filename

1419509