TY - GEN
T1 - Web-based multi-dimensional medical image collaborative annotation system
AU - Yu, Gaihong
AU - Ma, Dianfu
AU - Shen, Hualei
AU - Huang, Yonggang
PY - 2013
Y1 - 2013
N2 - Medical image annotation is playing an increasingly important role in clinical diagnosis and medical research. Existing medical image annotation is faced with many demands and challenges. (1) The emergence and sharp increasing speed of multi-dimensional medical images. (2) Image annotation includes not only text annotation, but also graphical annotation, clinical diagnostic information and image content features information. (3) Uneven distribution of medical resources, which makes difficult to aggregate group intelligence from a much larger scale of distributed experts. Most of the present study is texted based within hospitals on single images annotation. It is difficult to organize and manage unstructured medical image annotation and collaborative sharing information. This paper dedicated to the research on collaborative web-based multi-dimensional medical image annotation and retrieval in order to address these problems, overcome the shortcoming of traditional thin client and facilitate medical experts in different locations to exchange views and comments,. It proposed (1) a system architecture that provides authoring, storing, querying, and exchanging of annotations, and supports web-based collaboration. (2) 2D multi-frame and 3D medical image collaborative annotation data model. (3) Collaborative annotation mechanisms.
AB - Medical image annotation is playing an increasingly important role in clinical diagnosis and medical research. Existing medical image annotation is faced with many demands and challenges. (1) The emergence and sharp increasing speed of multi-dimensional medical images. (2) Image annotation includes not only text annotation, but also graphical annotation, clinical diagnostic information and image content features information. (3) Uneven distribution of medical resources, which makes difficult to aggregate group intelligence from a much larger scale of distributed experts. Most of the present study is texted based within hospitals on single images annotation. It is difficult to organize and manage unstructured medical image annotation and collaborative sharing information. This paper dedicated to the research on collaborative web-based multi-dimensional medical image annotation and retrieval in order to address these problems, overcome the shortcoming of traditional thin client and facilitate medical experts in different locations to exchange views and comments,. It proposed (1) a system architecture that provides authoring, storing, querying, and exchanging of annotations, and supports web-based collaboration. (2) 2D multi-frame and 3D medical image collaborative annotation data model. (3) Collaborative annotation mechanisms.
KW - Annotation
KW - Collaborative
KW - Data model
KW - Medical image
UR - http://www.scopus.com/inward/record.url?scp=84869432202&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-34531-9_54
DO - 10.1007/978-3-642-34531-9_54
M3 - Conference contribution
AN - SCOPUS:84869432202
SN - 9783642345302
T3 - Lecture Notes in Electrical Engineering
SP - 511
EP - 522
BT - Proceedings of the 2012 International Conference on Information Technology and Software Engineering - Software Engineering and Digital Media Technology
T2 - 2012 International Conference on Information Technology and Software Engineering, ITSE 2012
Y2 - 8 December 2012 through 10 December 2012
ER -