| 書目名稱 | Thoracic Image Analysis | | 副標(biāo)題 | Second International | | 編輯 | Jens Petersen,Raúl San José Estépar,Kensaku Mori | | 視頻video | http://file.papertrans.cn/926/925023/925023.mp4 | | 叢書名稱 | Lecture Notes in Computer Science | | 圖書封面 |  | | 描述 | 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. | | 出版日期 | Conference proceedings 2020 | | 關(guān)鍵詞 | artificial intelligence; bioinformatics; color image processing; color images; computer science; computer | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-62469-9 | | isbn_softcover | 978-3-030-62468-2 | | isbn_ebook | 978-3-030-62469-9Series ISSN 0302-9743 Series E-ISSN 1611-3349 | | issn_series | 0302-9743 | | copyright | Springer Nature Switzerland AG 2020 |
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