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Artificial Intelligence over Infrared Images for Medical Applications
Details
This book constitutes the refereed proceedings of the Second Workshop on Artificial Intelligence over Infrared Images for Medical Applications, AIIIMA 2023 held in conjunction with MICCAI 2023, held in Vancouver, BC, Canada, on October 2, 2023.
The 10 full papers presented in this book were carefully peer reviewed and selected from 15 submissions.
The second workshop on AIIIMA, similarily to the first, aimes to create a forum to discuss the specific sub-topic of AI over Infrared Images for Medical Applications at MICCAI and promote this novel area of research, that has the potential to hugely impact our society, among the research community.
Klappentext
Artificial Intelligence over Infrared Images for Medical Applications.- 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.- 3D-BreastNet: A Self-supervised Deep Learning Network for Reconstruction of 3D Breast Surface from 2D Thermal Images.- Modeling the 3D Breast Surface Using Thermography.- 3D Convolutional Neural Networks for Dynamic Breast Infrared Imaging Classification.- Could the consideration of symmetry be statistically significant for breast infrared analysis?.- Performance Evaluation of Convolutional Segmentation Models with Human Hand Thermal Images (H2TI) Dataset.- A Generative Approach for Image Registration of Visible-Thermal (VT) Cancer Faces.- Relationship between thermography assessment and hamstring isometric test in amateur soccer players.- Evaluation of Deep Learning Models for Lower Extremity Muscle Segmentation in Thermal Imaging.- Radiomics feature selection from Thyroid thermal images to improve thyroid nodules interpretations.
Inhalt
Artificial Intelligence over Infrared Images for Medical Applications .- 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.- 3D-BreastNet: A Self-supervised Deep Learning Network for Reconstruction of 3D Breast Surface from 2D Thermal Images.- Modeling the 3D Breast Surface Using Thermography.- 3D Convolutional Neural Networks for Dynamic Breast Infrared Imaging Classification.- Could the consideration of symmetry be statistically significant for breast infrared analysis?.- Performance Evaluation of Convolutional Segmentation Models with Human Hand Thermal Images (H2TI) Dataset.- A Generative Approach for Image Registration of Visible-Thermal (VT) Cancer Faces.- Relationship between thermography assessment and hamstring isometric test in amateur soccer players.- Evaluation of Deep Learning Models for Lower Extremity Muscle Segmentation in Thermal Imaging.- Radiomics feature selection from Thyroid thermal images to improve thyroid nodules interpretations.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783031456572
- Genre Information Technology
- Auflage 1st ed. 2023
- Editor Siva Teja Kakileti, Geetha Manjunath, Robert G. Schwartz, Alejandro F. Frangi
- Lesemotiv Verstehen
- Anzahl Seiten 143
- Größe H7mm x B155mm x T235mm
- Jahr 2023
- EAN 9783031456572
- Format Kartonierter Einband
- ISBN 978-3-031-45657-2
- Titel Artificial Intelligence over Infrared Images for Medical Applications
- Untertitel Second MICCAI Workshop, AIIIMA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 2, 2023, Proceedings
- Herausgeber Springer
- Sprache Englisch