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Artificial Intelligence over Infrared Images for Medical Applications: Second MICCAI Workshop, AIIIMA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 2, 2023, Proceedings 1st ed. 2023 [Mīkstie vāki]

  • Formāts: Paperback / softback, 143 pages, height x width: 235x155 mm, weight: 301 g, 47 Illustrations, color; 11 Illustrations, black and white; X, 143 p. 58 illus., 47 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 14298
  • Izdošanas datums: 24-Oct-2023
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031456572
  • ISBN-13: 9783031456572
  • Mīkstie vāki
  • Cena: 91,53 €*
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  • Formāts: Paperback / softback, 143 pages, height x width: 235x155 mm, weight: 301 g, 47 Illustrations, color; 11 Illustrations, black and white; X, 143 p. 58 illus., 47 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 14298
  • Izdošanas datums: 24-Oct-2023
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031456572
  • ISBN-13: 9783031456572
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.
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.