[HTML][HTML] Use of infrared thermography in medical diagnosis, screening, and disease monitoring: A scoping review
D Kesztyüs, S Brucher, C Wilson, T Kesztyüs - Medicina, 2023 - mdpi.com
Thermography provides non-invasive, radiation-free diagnostic imaging. Despite the
extensive literature on medical thermography, a comprehensive overview of current …
extensive literature on medical thermography, a comprehensive overview of current …
A review of the application of deep learning in obesity: From early prediction aid to advanced management assistance
X Yi, Z Heyang, S Gao, M Li - … & Metabolic Syndrome: Clinical Research & …, 2024 - Elsevier
Background and aims Obesity is a chronic disease which can cause severe metabolic
disorders. Machine learning (ML) techniques, especially deep learning (DL), have proven to …
disorders. Machine learning (ML) techniques, especially deep learning (DL), have proven to …
[HTML][HTML] A novel few-shot classification framework for diabetic retinopathy detection and grading
Diabetes Retinopathy (DR) is a major microvascular complication of diabetes. Computer-
Aided Diagnosis (CAD) tools for DR management are primarily developed using Artificial …
Aided Diagnosis (CAD) tools for DR management are primarily developed using Artificial …
[HTML][HTML] Tongue image fusion and analysis of thermal and visible images in diabetes mellitus using machine learning techniques
U Thirunavukkarasu, S Umapathy, V Ravi… - Scientific Reports, 2024 - nature.com
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 …
visible tongue images with various fusion rules of discrete wavelet transform (DWT) to …
Review of computer‐aided methods in fat crystallization studies
A Qi, L Zhang - Journal of the American Oil Chemists' Society, 2024 - Wiley Online Library
With recent improvements in computer performance, computer‐aided studies have become
increasingly important. Computer‐aided methods have been applied in fat crystallization …
increasingly important. Computer‐aided methods have been applied in fat crystallization …
[PDF][PDF] Métricas utilizadas para avaliar a eficiência de classificadores em algoritmos inteligentes
GBV Junior, BN Lima, AA Pereira… - … CPAQV–Centro de …, 2022 - researchgate.net
RESUMO O presente artigo teve como objetivo apresentar e discutir as principais métricas
para avaliar a eficiência de classificadores em algoritmos inteligentes. Para isso, recorreu …
para avaliar a eficiência de classificadores em algoritmos inteligentes. Para isso, recorreu …
Traditional machine learning and deep learning modeling for legume species recognition
Legumes or beans are protein-rich vegetables that are cultivated in many parts of the world.
More than fifty local legume varieties are available in Bangladesh, where all these legumes …
More than fifty local legume varieties are available in Bangladesh, where all these legumes …
CVINet: A deep learning based model for the diagnosis of chronic venous insufficiency in lower extremity using infrared thermal images
N Krishnan, P Muthu - International Journal of Imaging …, 2024 - Wiley Online Library
Chronic venous insufficiency (CVI) is a venous disorder characterized by impaired blood
flow from the lower extremities back to the heart, leading to various symptoms and …
flow from the lower extremities back to the heart, leading to various symptoms and …
Clustering Based BMI Indexing for Child Disease Prone-Probability Prediction
Early age obesity has a significant impact on the world's public health. Obesity can be
identified in children using body mass indexing based on age-specific vitals of a child. An …
identified in children using body mass indexing based on age-specific vitals of a child. An …
An Improved Thermogram Dataset for Obesity Detection Research
Obesity is a global health concern associated with severe complications, including heart
disease, diabetes, and cancer. Its prevalence has seen a consistent rise, demanding early …
disease, diabetes, and cancer. Its prevalence has seen a consistent rise, demanding early …