Paper
15 December 2003 LMIK - learning medical image knowledge: an Internet-based medical image knowledge acquisition framework
Mamatha Rudrapatna, Arcot Sowmya, Tatjana Zrimec, Peter Wilson, George Kossoff, Phil Lucas, James Wong, Avishkar Misra, Sata Busayarat
Author Affiliations +
Proceedings Volume 5304, Internet Imaging V; (2003) https://doi.org/10.1117/12.526290
Event: Electronic Imaging 2004, 2004, San Jose, California, United States
Abstract
As part of the Learning Medical Imaging Knowledge project, we are developing a knowledge-based, machine learning and knowledge acquisition framework for systematic feature extraction and recognition of a range of lung diseases from High Resolution Computed Tomography (HRCT) images. This framework allows radiologists to remotely diagnose and share expert knowledge about lung HRCT interpretation, which is then used to develop a Computer Aided Diagnosis (CAD) system for lung disease. In this paper, we describe the knowledge acquisition system LMIK, which is Internet-based and platform-independent. The LMIK utilises the Internet to provide users with secure access to patient and research data and facilitates communication among highly qualified radiologists and researchers. It is currently used by five radiologists and over 20 researchers and has proved to be an invaluable research tool. Research is underway to develop computer algorithms for automatic diagnosis of lung diseases. In future, these algorithms will be integrated into LMIK to equip it with CAD capabilities to improve diagnostic accuracy of radiologists and extend availability of expert clinical knowledge to wider communities.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mamatha Rudrapatna, Arcot Sowmya, Tatjana Zrimec, Peter Wilson, George Kossoff, Phil Lucas, James Wong, Avishkar Misra, and Sata Busayarat "LMIK - learning medical image knowledge: an Internet-based medical image knowledge acquisition framework", Proc. SPIE 5304, Internet Imaging V, (15 December 2003); https://doi.org/10.1117/12.526290
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Cited by 8 scholarly publications.
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KEYWORDS
Picture Archiving and Communication System

Computer aided diagnosis and therapy

Databases

Medical imaging

Computer aided design

Telemedicine

Java

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