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{ "item_title" : "Thoracic Image Analysis", "item_author" : [" Jens Petersen", "Raúl San José Estépar", "Alexander Schmidt-Richberg "], "item_description" : "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.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/3/03/062/468/3030624684_b.jpg", "price_data" : { "retail_price" : "54.99", "online_price" : "54.99", "our_price" : "54.99", "club_price" : "54.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Thoracic Image Analysis|Jens Petersen

Thoracic Image Analysis : Second International Workshop, Tia 2020, Held in Conjunction with Miccai 2020, Lima, Peru, October 8, 2020, Proceedings

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Overview

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.

This item is Non-Returnable

Details

  • ISBN-13: 9783030624682
  • ISBN-10: 3030624684
  • Publisher: Springer
  • Publish Date: November 2020
  • Dimensions: 9.21 x 6.14 x 0.38 inches
  • Shipping Weight: 0.57 pounds
  • Page Count: 166

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