eprintid: 8602
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/86/02
datestamp: 2023-11-09 16:20:31
lastmod: 2023-11-09 16:20:31
status_changed: 2023-11-09 16:13:03
type: conference_item
metadata_visibility: show
creators_name: Kleyko, D.
creators_name: Khan, S.
creators_name: Osipov, E.
creators_name: Yong, S.-P.
title: Modality classification of medical images with distributed representations based on cellular automata reservoir computing
ispublished: pub
keywords: Classification (of information); Image classification; Image retrieval; Search engines, Classical methods; Classification accuracy; Distributed representation; Incremental learning; Optimization routine; Reservoir Computing; Training data; Training phase, Medical imaging
note: cited By 18; Conference of 14th IEEE International Symposium on Biomedical Imaging, ISBI 2017 ; Conference Date: 18 April 2017 Through 21 April 2017; Conference Code:128383
abstract: Modality corresponding to medical images is a vital filter in medical image retrieval systems. This article presents the classification of modalities of medical images based on the usage of principles of hyper-dimensional computing and reservoir computing. It is demonstrated that the highest classification accuracy of the proposed method is on a par with the best classical method for the given dataset (83 vs. 84). The major positive property of the proposed method is that it does not require any optimization routine during the training phase and naturally allows for incremental learning upon the availability of new training data. © 2017 IEEE.
date: 2017
publisher: IEEE Computer Society
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85023198723&doi=10.1109%2fISBI.2017.7950697&partnerID=40&md5=94f3e21c26cfd8119076001e82236597
id_number: 10.1109/ISBI.2017.7950697
full_text_status: none
publication: Proceedings - International Symposium on Biomedical Imaging
pagerange: 1053-1056
refereed: TRUE
isbn: 9781509011711
issn: 19457928
citation:   Kleyko, D. and Khan, S. and Osipov, E. and Yong, S.-P.  (2017) Modality classification of medical images with distributed representations based on cellular automata reservoir computing.  In: UNSPECIFIED.