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Individualised grid-enabled mammographic training system

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conference contribution
posted on 2010-06-03, 08:46 authored by Moi Hoon Yap, Alastair Gale
The PERFORMS self-assessment scheme measures individuals skills in identifying key mammographic features on sets of known cases. One aspect of this is that it allows radiologists’ skills to be trained, based on their data from this scheme. Consequently, a new strategy is introduced to provide revision training based on mammographic features that the radiologist has had difficulty with in these sets. To do this requires a lot of random cases to provide dynamic, unique, and up-to-date training modules for each individual. We propose GIMI (Generic Infrastructure in Medical Informatics) middleware as the solution to harvest cases from distributed grid servers. The GIMI middleware enables existing and legacy data to support healthcare delivery, research, and training. It is technology-agnostic, data-agnostic, and has a security policy. The trainee examines each case, indicating the location of regions of interest, and completes an evaluation form, to determine mammographic feature labelling, diagnosis, and decisions. For feedback, the trainee can choose to have immediate feedback after examining each case or batch feedback after examining a number of cases. All the trainees’ result are recorded in a database which also contains their trainee profile. A full report can be prepared for the trainee after they have completed their training. This project demonstrates the practicality of a grid-based individualised training strategy and the efficacy in generating dynamic training modules within the coverage/outreach of the GIMI middleware. The advantages and limitations of the approach are discussed together with future plans.

History

School

  • Science

Department

  • Computer Science

Citation

YAP, M.H. and GALE, A.G., 2009. Individualised grid-enabled mammographic training system. IN: Medical Imaging 2009: Advanced PACS-based Imaging Informatics and Therapeutic Applications, edited by Khan M. Siddiqui and Brent J. Liu, Proc. SPIE 7264,72640V (2009)

Publisher

© 2009 Society of Photo-Optical Instrumentation Engineers

Version

  • VoR (Version of Record)

Publication date

2009

Notes

Copyright 2009 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic electronic or print reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. This paper can also be found at: http://dx.doi.org/10.1117/12.810728

Language

  • en

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