Thermal Imaging and Computational Intelligence Techniques in Disease Detection (Hardcover, 1)

1. Harnessing Machine Learning for Breast Thermogram Analysis: Advancements in Early Detection and Diagnosis. 2. Automatic Detection of Osteoporosis using Explainable AI Techniques. 3. Ensemble Machine Learning classification for breast thermograms. 4. Transforming Cancer Research: Early Detection Using Thermal Imaging and Machine Learning. 5. Infrared Thermal Imaging In Diabetic Neuropathy. 6. Integration of Computational intelligence and Thermal Imaging for Enhanced Skin Lesion Diagnosis. 7. A comprehensive overview of advancing Oral Cancer Detection: The Role of Thermal Imaging and Artificial Intelligence. 8. Ocular Surface Temperature Measurements in Diabetic Retinopathy Affected Patients using Infrared Thermal Imaging. 9. From History to Modernity: Agnikarma Procedure and its Evaluation with Technical Methodologies. 10. A Comprehensive Framework for the Detection and Management of Diabetic Foot Ulcers Using Diverse Imaging Techniques. 11. Identification of Jaundice-affected and normal infants in NICUs from the clinical image dataset using deep learning models.?12. Thermogram Analysis from an Image Processing Perspective.?13. Convolutional Neural Networks for Early Disease Detection in AI-Powered Thermographic Imaging. 14. A Comprehensive Review of Machine Learning and Deep Learning Techniques for Early Detection of Alzheimer’s and Dementia