Description |
1 online resource (x, 166 pages) : illustrations (some color) |
Series |
Lecture notes in computer science ; 12502 |
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LNCS sublibrary: SL6 -- Image processing, computer vision, pattern recognition, and graphics |
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Lecture notes in computer science ; 12502.
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LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics ; 12502.
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Contents |
Multi-cavity Heart Segmentation in Non-contrast Non-ECG Gated CT Scans with F-CNN -- 3D Deep Convolutional Neural Network-based Ventilated Lung Segmentation using Multi-nuclear Hyperpolarized Gas MRI -- Lung Cancer Tumor Region Segmentation Using Recurrent 3D-DenseUNet -- 3D Probabilistic Segmentation and Volumetry from 2D Projection Images -- CovidDiagnosis: Deep Diagnosis of Covid-19 Patients using Chest X-rays -- Can We Trust Deep Learning Based Diagnosis? The Impact of Domain Shift in Chest Radiograph Classification -- A Weakly Supervised Deep Learning Framework for COVID-19 CT Detection and Analysis -- Deep Reinforcement Learning for Localization of the Aortic Annulus in Patients with Aortic Dissection -- Functional-Consistent CycleGAN for CT to Iodine Perfusion Map Translation -- MRI to CTA Translation for Pulmonary Artery Evaluation using CycleGANs Trained with Unpaired Data -- Semi-supervised Virtual Regression of Aortic Dissections Using 3D Generative Inpainting -- Registration-Invariant Biomechanical Features for Disease Staging of COPD in SPIROMICS -- Deep Group-wise Variational Diffeomorphic Image Registration |
Summary |
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 |
Notes |
Includes author index |
Bibliography |
Includes bibliographical references and index |
Notes |
Current copyright fee: GBP19.00 42\0. Uk |
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Online resource; title from PDF title page (SpringerLink, viewed January 27, 2021) |
Subject |
Chest -- Imaging -- Congresses
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Image analysis -- Mathematical models -- Congresses
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Diagnostic imaging -- Data processing -- Congresses
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Optical data processing.
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Application software.
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Computers.
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Artificial intelligence.
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Thoracic Cavity -- diagnostic imaging
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Computers
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Artificial Intelligence
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computers.
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artificial intelligence.
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Image analysis -- Mathematical models
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Diagnostic imaging -- Data processing
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Chest -- Imaging
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Application software
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Artificial intelligence
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Computers
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Optical data processing
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Genre/Form |
proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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Form |
Electronic book
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Author |
Petersen, Jens, editor
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San José Estépar, Raúl, editor
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Schmidt-Richberg, Alexander, editor
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Gerard, Sarah, editor
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Lassen-Schmidt, Bianca, editor
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Jacobs, Colin, editor
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Beichel, Reinhard, editor
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Mori, Kensaku, editor
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International Conference on Medical Image Computing and Computer-Assisted Intervention (23rd : 2020 : Online)
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ISBN |
9783030624699 |
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3030624692 |
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