AI-Based Classification Algorithm of Infrared Images of Patients with Spinal Disorders - 12th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2021 Access content directly
Conference Papers Year : 2021

AI-Based Classification Algorithm of Infrared Images of Patients with Spinal Disorders

Abstract

Infrared thermal imaging is a non-destructive, non-invasive technique that has shown to be effective in the detection and pre-clinical diagnosis of a variety of disorders. Nowadays, some medical applications have already been successfully implemented in pre-clinic diagnostics using thermography based on AI algorithms to support decision-based medical tasks. Though, the massive amount of image types, disease variety, and numerous individual anatomical features of the human body continue to give researchers more challenging jobs that still need to be solved. This paper proposes a novel methodology using a convolutional neural network (CNN) for analyzing with high accuracy infrared thermal images from the spine region for quick screening and disease classification of patients.
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hal-03685915 , version 1 (02-06-2022)

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Anna Poplavska, Valentina Vassilenko, Oleksandr Poplavskyi, Diogo Casal. AI-Based Classification Algorithm of Infrared Images of Patients with Spinal Disorders. 12th Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Jul 2021, Costa de Caparica, Portugal. pp.316-323, ⟨10.1007/978-3-030-78288-7_30⟩. ⟨hal-03685915⟩
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