Bokus
Jens Petersen, Raúl San José Estépar, Alexander Schmidt-Richberg, Sarah Gerard, Bianca Lassen-Schmidt, Colin Jacobs, Reinhard Beichel, Kensaku Mori - Thoracic Image Analysis, Häftad

Häftad, Engelska, 2020

Thoracic Image Analysis

Av Jens Petersen, Raúl San José Estépar, Alexander Schmidt-Richberg, Sarah Gerard, Bianca Lassen-Schmidt, Colin Jacobs, Reinhard Beichel, Kensaku Mori

566 kr

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Beskrivning
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.
Produktinformation
  • Utgivningsdatum: 2020-11-04
  • Mått: 155 x 235 x 10 mm
  • Vikt: 277 g
  • Format: Häftad
  • Språk: Engelska
  • Serie: Lecture Notes in Computer Science
  • Antal sidor: 166
  • Förlag: Springer Nature Switzerland AG
  • ISBN: 9783030624682
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