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Thoracic Image Analysis Second International Workshop Tia 2020 Held In Conjunction With Miccai 2020 Lima Peru October 8 2020 Proceedings 1st Ed Jens Petersen

  • SKU: BELL-22496514
Thoracic Image Analysis Second International Workshop Tia 2020 Held In Conjunction With Miccai 2020 Lima Peru October 8 2020 Proceedings 1st Ed Jens Petersen
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Thoracic Image Analysis Second International Workshop Tia 2020 Held In Conjunction With Miccai 2020 Lima Peru October 8 2020 Proceedings 1st Ed Jens Petersen instant download after payment.

Publisher: Springer International Publishing;Springer
File Extension: PDF
File size: 27.83 MB
Author: Jens Petersen, Raúl San José Estépar, Alexander Schmidt-Richberg, Sarah Gerard, Bianca Lassen-Schmidt, Colin Jacobs, Reinhard Beichel, Kensaku Mori
ISBN: 9783030624682, 9783030624699, 3030624684, 3030624692
Language: English
Year: 2020
Edition: 1st ed.

Product desciption

Thoracic Image Analysis Second International Workshop Tia 2020 Held In Conjunction With Miccai 2020 Lima Peru October 8 2020 Proceedings 1st Ed Jens Petersen by Jens Petersen, Raúl San José Estépar, Alexander Schmidt-richberg, Sarah Gerard, Bianca Lassen-schmidt, Colin Jacobs, Reinhard Beichel, Kensaku Mori 9783030624682, 9783030624699, 3030624684, 3030624692 instant download after payment.

This book constitutes the proceedings of the Second International Workshop on Thoracic Image Analysis, TIA 2020, held in Lima, Peru, in October 2020. Due to COVID-19 pandemic the conference was held virtually. COVID-19 infection has brought a lot of attention to lung imaging and the role of CT imaging in the diagnostic workflow of COVID-19 suspects is an important topic.
The 14 full papers presented deal with all aspects of image analysis of thoracic data, including: image acquisition and reconstruction, segmentation, registration, quantification, visualization, validation, population-based modeling, biophysical modeling (computational anatomy), deep learning, image analysis in small animals, outcome-based research and novel infectious disease applications.

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