Tongue image fusion and analysis of thermal and visible images in diabetes mellitus using machine learning techniques.

ABSTRACT: The study aimed to achieve the following objectives: (1) to perform the fusion of thermal and visible tongue images with various fusion rules of discrete wavelet transform (DWT) to classify diabetes and normal subjects; (2) to obtain the statistical features in the required region of interest from the tongue image before and after fusion; (3) to distinguish the healthy and diabetes using fused tongue images based on deep and machine learning algorithms. The study participants comprised of 80 normal subjects and age- and sex-matched 80 diabetes patients. The biochemical tests such as fasting glucose, postprandial, Hba1c are taken for all the participants. The visible and thermal tongue images are acquired using digital single lens reference camera and thermal infrared cameras, respectively.

SUBMITTER: Thirunavukkarasu U 

PROVIDER: S-EPMC11196274 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature