Artificial Intelligence over Infrared Images for Medical Applications - Third International Conference, AIIIMA 2024, Virtual Event, November 9, 2024, Proceedings

This book constitutes the refereed proceedings of the Third International Conference on Artificial Intelligence over Infrared Images for Medical Applications, AIIIMA 2024, held as a virtual event, on November 9, 2024.
The 11 full papers presented in these proceedings were carefully reviewed and selected from 27 submissions. These papers focus on the application of Artificial Intelligence in medical infrared imaging for cancer screening, cancer diagnosis, cancer risk assessment, treatment monitoring, sports injury, diabetic foot ulcers detection, and pain management.

Sommario

.- Thermal Radiomics for Early Detection of Diabetic Foot Ulcers Using Infrared Thermography.
.- Reverse Circular Logarithmic LBP for Diabetic Foot Ulcer Detection.
.- CNN Transformer for the Automated Detection of Rheumatoid Arthritis in Hand Thermal Images.
.- Generative Artificial Intelligence Approaches for Synthesizing High-Fidelity Breast Thermal Images.
.- About the validity of using DCGANs for data augmentation in breast thermography segmentation.
.- 3D-CNN for Breast Cancer Detection on Angular IR Images.
.- Evaluating Radiomics Feature Reduction for Thyroid Nodule Segmentation in Thermal Imaging.
.- Assessment of range of motion before and after hamstring percussion therapy using thermography and CNN.
.- The Effects of Balance and Strength on Thermal Heatmap.
.- The Future of Herpes Zoster Care: AI-Powered Thermal Imaging for Accurate Diagnosis and PHN Prediction.

Dettagli sul prodotto

• Con la collaborazione di: Siva Teja Kakileti (Editore), Geetha Manjunath (Editore), Eddie Y. K. Ng (Editore), Robert G. Schwartz (Editore)
• Editore: Springer, Berlin
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 03.11.2024
• EAN: 9783031765834
• ISBN: 978-3-0-3176583-4
• Pagine: 153
• Dimensioni: 155 mm x 9 mm x 235 mm
• Peso: 260 g
• Illustrazioni: X, 153 p. 67 illus., 48 illus. in color.
• Serie: Lecture Notes in Computer Science
• Categoria: Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Software applicativo