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Identifying metastasis in bone scans with stochastic diffusion search

Identifying metastasis in bone scans with stochastic diffusion search

al-Rifaie, Mohammad Majid ORCID: 0000-0002-1798-9615 and Aber, Ahmed (2012) Identifying metastasis in bone scans with stochastic diffusion search. In: 2012 International Symposium on Information Technologies in Medicine and Education. Institute of Electrical and Electronics Engineers (IEEE), Hokkaido, Japan, pp. 519-523. ISBN 978-1467321082 (doi:https://doi.org/10.1109/ITiME.2012.6291355)

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Abstract

This paper introduces the use of a swarm intelligence algorithm – Stochastic Diffusion Search – as a tool to identify metastasis in bone scans. This algorithm is adapted for this particular purpose and its performance is investigated by running the algorithm’s agents on sample bone scans whose status have been determined by the experts. A statistical analysis is also presented, highlighting the behaviour of the algorithm when presented with different samples.

Item Type: Conference Proceedings
Title of Proceedings: 2012 International Symposium on Information Technologies in Medicine and Education
Uncontrolled Keywords: Stochastic diffusion search, metastasis, bone scan, SDS
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
R Medicine > RC Internal medicine > RC0254 Neoplasms. Tumors. Oncology (including Cancer)
Faculty / Department / Research Group: Faculty of Liberal Arts & Sciences
Faculty of Liberal Arts & Sciences > Centre for Computer & Computational Science
Faculty of Liberal Arts & Sciences > School of Computing & Mathematical Sciences (CAM)
Last Modified: 21 Jul 2021 21:42
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
Selected for REF2021: None
URI: http://gala.gre.ac.uk/id/eprint/21033

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