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Design and comparison of machine learning-based computer-aided diagnostic techniques to aid diagnosis of diabetes and detection of ulcer-prone regions in the feet using thermograms

Crossref DOI link: https://doi.org/10.1007/s42600-022-00217-z

Published Online: 2022-05-03

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Balasenthilkumaran, Nirmala Vasan

Ram S, Barath

Gorti, Siddharth

Rajagopal, Sivakumar http://orcid.org/0000-0001-8486-7960
Soangra, Rahul
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Text and Data Mining valid from 2022-05-03

Version of Record valid from 2022-05-03
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Article History

Received: 9 August 2021

Accepted: 9 April 2022

First Online: 3 May 2022

Change Date: 10 May 2022

Change Type: Correction

Change Details: A Correction to this paper has been published:

Change Details: https://doi.org/10.1007/s42600-022-00221-3

Updates are available Correction dated 2022-05-10

Click to view Correction: https://doi.org/10.1007/s42600-022-00221-3