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Artificial Intelligence Over Infrared Images for Medical Applications (AIIIMA 2023)

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Cover of 'Artificial Intelligence Over Infrared Images for Medical Applications (AIIIMA 2023)'

Table of Contents

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    Book Overview
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    Chapter 1 The Socioeconomic Impact of Artificial Intelligence Applications in Diagnostic Medical Thermography: A Comparative Analysis with Mammography in Breast Cancer Detection and Other Diseases Early Detection
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    Chapter 2 3D-BreastNet: A Self-supervised Deep Learning Network for Reconstruction of 3D Breast Surface from 2D Thermal Images
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    Chapter 3 Modeling the 3D Breast Surface Using Thermography
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    Chapter 4 3D Convolutional Neural Networks for Dynamic Breast Infrared Imaging Classification
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    Chapter 5 Could the Consideration of Symmetry be Statistically Significant for Breast Infrared Analysis?
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    Chapter 6 Performance Evaluation of Convolutional Segmentation Models with Human Hand Thermal Images (H2TI) Dataset
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    Chapter 7 A Generative Approach for Image Registration of Visible-Thermal (VT) Cancer Faces
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    Chapter 8 Relationship Between Thermography Assessment and Hamstring Isometric Test in Amateur Soccer Players
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    Chapter 9 Evaluation of Deep Learning Models for Lower Extremity Muscle Segmentation in Thermal Imaging
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    Chapter 10 Radiomics Feature Selection from Thyroid Thermal Images to Improve Thyroid Nodules Interpretations
Attention for Chapter 10: Radiomics Feature Selection from Thyroid Thermal Images to Improve Thyroid Nodules Interpretations
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Chapter title
Radiomics Feature Selection from Thyroid Thermal Images to Improve Thyroid Nodules Interpretations
Chapter number 10
Book title
Artificial Intelligence Over Infrared Images for Medical Applications (AIIIMA 2023)
Published by
Springer, Cham, January 2023
DOI 10.1007/978-3-031-44511-8_10
Book ISBNs
978-3-03-145657-2, 978-3-03-144511-8
Authors

Etehadtavakol, Mahnaz, Sirati-Amsheh, Mojtaba, Ng, Eddie Y. K.

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