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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 6: Performance Evaluation of Convolutional Segmentation Models with Human Hand Thermal Images (H2TI) Dataset
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Chapter title
Performance Evaluation of Convolutional Segmentation Models with Human Hand Thermal Images (H2TI) Dataset
Chapter number 6
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_6
Book ISBNs
978-3-03-145657-2, 978-3-03-144511-8
Authors

Çevik, Mahmut, Ceylan, Murat

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 100%
Readers by discipline Count As %
Medicine and Dentistry 1 100%

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