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Artificial Intelligence over Infrared Images for Medical Applications
Details
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.
Inhalt
.- 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.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783031765834
- Herausgeber Springer
- Anzahl Seiten 164
- Lesemotiv Verstehen
- Genre Software
- Editor Siva Teja Kakileti, Geetha Manjunath, Robert G. Schwartz, Eddie Y. K. Ng
- Sprache Englisch
- Gewicht 260g
- Untertitel Third International Conference, AIIIMA 2024, Virtual Event, November 9, 2024, Proceedings
- Größe H235mm x B155mm x T10mm
- Jahr 2024
- EAN 9783031765834
- Format Kartonierter Einband
- ISBN 978-3-031-76583-4
- Veröffentlichung 03.11.2024
- Titel Artificial Intelligence over Infrared Images for Medical Applications