NDLI: Image classification for different imaging modalities in image-guided medical diagnosis model

Content Provider	IEEE Xplore Digital Library
Author	Phooi Yee Lau Ozawa, S.
Copyright Year	2003
Description	Author affiliation: Center for Inf., Commun. & Media Technol., Keio Univ., Japan (Phooi Yee Lau; Ozawa, S.)
Abstract	Classifying images into meaningful categories according to their imaging modalities is beginning to play an increasing important role in producing an effective medical database management system. Since medical images often represent some form of diagnosis capabilities or patient's condition, the ability to follow-up and classify these images to support doctor's diagnosis for future queries, may serve as a secondary diagnosis tool of the future. While color-based, feature-based, shape-based and content-based classification has each present its importance in classifying medical images; a universal classification technique has yet emerged for classifying different modalities together. Thus, this paper is dedicated to introduce a universal classification method which could support classifying different imaging modalities, while exploiting the current available technique concentrating on each of the important visual attributes of these methods in connection with their imaging modalities.
Starting Page	150
Ending Page	151
File Size	175404
Page Count	2
File Format	PDF
ISBN	0780379438
DOI	10.1109/APBME.2003.1302628
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-10-20
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image databases Computed tomography Humans Programmable logic arrays Spatial databases Medical diagnosis Medical diagnostic imaging Image classification Biomedical imaging Indexing
Content Type	Text
Resource Type	Article

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