Abstract
This article presents a strategy for medical image management. Based on the database named AUDR (Advanced Unstructured Data Repository) developed by Beihang University, a web-based system for medical image management and collaborative processing is built. Different from other applications, the system is accessed via web browser, and allows both text-based and content-based retrieval of medical images in DICOM format. Besides, the system allows geographically separated radiologists to process and interpret the same medical image simultaneously. To import medical image into AUDR, a strategy for DICOM image import is proposed. To implement the system, a collaboration framework and a method for image transmission is proposed. System evaluation in terms of functionality and performance has been performed in order to prove the availability of the system.
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Shen, H., Ma, D., Zhao, Y., Yang, C., Sun, S., Lang, B. (2012). Managing and Collaboratively Processing Medical Image via the Web. In: Bao, Z., et al. Web-Age Information Management. WAIM 2012. Lecture Notes in Computer Science, vol 7419. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33050-6_25
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DOI: https://doi.org/10.1007/978-3-642-33050-6_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33049-0
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