Multivariate Parametric Study of Nailfold Capillary Images for Disease Detection.

Autor: Suma KV; Department of Electronics and Communication, M S Ramaiah Institute of Technology, Bangalore, Karnataka 560054, India., Dinesh PA; Department of Mathematics, Ramaiah Institute of Technology, MSRIT Nagar, Bangalore 560 054, India., Rao B; Interventional Cardiology (IC), Gujarat, India.
Jazyk: angličtina
Zdroj: Critical reviews in biomedical engineering [Crit Rev Biomed Eng] 2023; Vol. 51 (3), pp. 1-19.
DOI: 10.1615/CritRevBiomedEng.2023047066
Abstrakt: Nailfold capillaroscopy is a tool which is non-invasive in nature and can be useful for diagnosis, research, therapeutic study and prognosis. Research shows that specific capillary morphology patterns are identified for diabetic subjects, hypertensive subjects and normal controls. In this study, we have proposed RATHEW approach of classifying these three classes of subjects. RATHEW approach employs a three step process for classifying nailfold images: one, identify six abnormality parameters from the image dataset; two, score these abnormality parameters based on the defined scoring rules; and three, combine them mathematically to segregate them into three classes. This technique can be further enhanced to grade the severity of disease and organ involvement. This can bring in a paradigm shift to the disease detection and therapeutic study mechanism.
Databáze: MEDLINE