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Correction to: Different techniques for Alzheimer’s disease classification using brain images: a study

Correction to: Different techniques for Alzheimer’s disease classification using brain images: a... International Journal of Multimedia Information Retrieval (2021) 10:255 https://doi.org/10.1007/s13735-021-00222-5 CORRECTION Correction to: Different techniques for Alzheimer’s disease classification using brain images: a study 1 2 3 1 1 Ruhul Amin Hazarika · Ajith Abraham · Samarendra Nath Sur · Arnab Kumar Maji · Debdatta Kandar Published online: 16 November 2021 © Springer-Verlag London Ltd., part of Springer Nature 2021 Correction to: International Journal of Multimedia Information Retrieval https://doi.org/10.1007/s13735-021-00210-9 At the beginning of the second paragraph of Section 1.1 (page 2), these sentences were accidentally omitted in the editing process and were intended to provide context for ref- erence [19] which is not referred to in the main text: Some of the AD diagnosing approaches discussed in Table 1, have also been widely used to classify some other diseases. For example, Electronystagmography (EVestG) is an effec- tive approach for diagnosing AD [18] as well as Parkinson’s disease [19], but a possible limitation of the technique is that, it depends on the physical conditions/movements of the patients [19]. Publisher’s Note Springer Nature remains neutral with regard to juris- dictional claims in published maps and institutional affiliations. The original article can be found online at https://doi.org/10.1007/ s13735-021-00210-9. Ruhul Amin Hazarika rahazarika@gmail.com Debdatta http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Multimedia Information Retrieval Springer Journals

Correction to: Different techniques for Alzheimer’s disease classification using brain images: a study

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Correction to: Different techniques for Alzheimer’s disease classification using brain images: a study

Abstract

International Journal of Multimedia Information Retrieval (2021) 10:255 https://doi.org/10.1007/s13735-021-00222-5 CORRECTION Correction to: Different techniques for Alzheimer’s disease classification using brain images: a study 1 2 3 1 1 Ruhul Amin Hazarika · Ajith Abraham · Samarendra Nath Sur · Arnab Kumar Maji · Debdatta Kandar Published online: 16 November 2021 © Springer-Verlag London Ltd., part of Springer Nature 2021 Correction to:...
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Publisher
Springer Journals
Copyright
Copyright © Springer-Verlag London Ltd., part of Springer Nature 2021
ISSN
2192-6611
eISSN
2192-662X
DOI
10.1007/s13735-021-00222-5
Publisher site
See Article on Publisher Site

Abstract

International Journal of Multimedia Information Retrieval (2021) 10:255 https://doi.org/10.1007/s13735-021-00222-5 CORRECTION Correction to: Different techniques for Alzheimer’s disease classification using brain images: a study 1 2 3 1 1 Ruhul Amin Hazarika · Ajith Abraham · Samarendra Nath Sur · Arnab Kumar Maji · Debdatta Kandar Published online: 16 November 2021 © Springer-Verlag London Ltd., part of Springer Nature 2021 Correction to: International Journal of Multimedia Information Retrieval https://doi.org/10.1007/s13735-021-00210-9 At the beginning of the second paragraph of Section 1.1 (page 2), these sentences were accidentally omitted in the editing process and were intended to provide context for ref- erence [19] which is not referred to in the main text: Some of the AD diagnosing approaches discussed in Table 1, have also been widely used to classify some other diseases. For example, Electronystagmography (EVestG) is an effec- tive approach for diagnosing AD [18] as well as Parkinson’s disease [19], but a possible limitation of the technique is that, it depends on the physical conditions/movements of the patients [19]. Publisher’s Note Springer Nature remains neutral with regard to juris- dictional claims in published maps and institutional affiliations. The original article can be found online at https://doi.org/10.1007/ s13735-021-00210-9. Ruhul Amin Hazarika rahazarika@gmail.com Debdatta

Journal

International Journal of Multimedia Information Retrieval – Springer Journals

Published: Dec 1, 2021

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