Intro
Preface AIIIMA 2022
Preface MIABID 2022
Organization
Contents
Artificial Intelligence over Infrared Images for Medical Applications
Thermal Radiomics for Improving the Interpretability of Breast Cancer Detection from Thermal Images
1 Introduction
2 Methodology
2.1 Thermal Radiomics
2.2 Classification
3 Experimentation and Results
4 Conclusions
References
Radiomics for Breast IR-Imaging Classification
1 Introduction
2 Breast IR Classification in the Literature
3 Dataset Description
4 Region of Interest Segmentation

5 Radiomic Feature Extraction
6 Classification Methodology
7 Experiments and Results
8 Conclusion
References
Early Thermographic Screening of Breast Abnormality in Women with Dense Breast by Thermal, Fractal, and Statistical Analysis
1 Background
2 Methods
3 Results
3.1 Thermal Feature-Based Analysis
3.2 Fractal Feature-Based Analysis
3.3 Statistical Feature-Based Analysis
4 Discussion
5 Conclusion and Futurescope
References
A Novel Thermography-Based Artificial Intelligence-Powered Solution for Screening Breast Cancer
1 Introduction

1.1 Thermography
1.2 Related Work
1.3 AI-Powered Breast Cancer Prediction Tool by AI Talos
2 Materials and Methods
2.1 Dataset Description
2.2 CNN Methodology
3 Experimental Results
4 Conclusion
References
Thermographic Toothache Screening by Artificial Intelligence
1 Introduction, Review and Objectives
2 Materials and Methods
3 Results
4 Discussion
5 Conclusion
References
Non-fever COVID-19 Detection by Infrared Imaging
1 Introduction
2 Materials and Methods
2.1 Infrared Camera Calibration and Precision Assessment

2.2 Standard Data Bank Construction (Phase 1)
2.3 Classification Algorithm
2.4 Prospective Study (Phase 2)
2.5 Statistical Analysis
3 Results
4 Discussion
5 Conclusion
References
Automated Thermal Screening for COVID-19 Using Machine Learning
1 Introduction
2 Dataset
2.1 Thermal Surveillance Dataset
2.2 Augmented Surveillance Dataset
2.3 Lighting Dataset
3 Methodology
3.1 Image Preprocessing
3.2 Face Detection
3.3 Fever Detection
3.4 Mask Classification
4 Experiments and Results
4.1 Face Detection
4.2 Mask Classification

5 Conclusion
References
An Automated Approach for Screening COVID-19 from Thermal Images Using Convolutional Neural Network
1 Introduction
2 Dataset
3 Methodology
3.1 Overview
3.2 YOLOv5 as Mask Detection Module
3.3 Fever Detection Module
4 Results and Discussion
5 Conclusion
References
Infrared Technology for Vascular Abnormality in Finding of Abdominal Aortic Aneurysm
1 Introduction
1.1 Objective
2 Methodology
2.1 Model Setup
2.2 Boundary Conditions
2.3 Physical and Thermal Properties
3 Verification Studies for FSI Analysis