Kakileti / Manjunath / Schwartz Artificial Intelligence over Infrared Images for Medical Applications

Third International Conference, AIIIMA 2024, Virtual Event, November 9, 2024, Proceedings
Erscheinungsjahr 2024
ISBN: 978-3-031-76584-1
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 153 Seiten

Reihe: Lecture Notes in Computer Science

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 theapplication 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.

Zielgruppe

Research

Autoren/Hrsg.

Kakileti, Siva Teja

Manjunath, Geetha

Schwartz, Robert G.

Ng, Eddie Y. K.

Inhaltsverzeichnis

.- 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.