- Format
- Häftad (Paperback / softback)
- Språk
- Engelska
- Antal sidor
- 166
- Utgivningsdatum
- 2020-11-04
- Upplaga
- 1st ed. 2020
- Förlag
- Springer Nature Switzerland AG
- Medarbetare
- Petersen, Jens (ed.), San José Estépar, Raul (ed.), Schmidt-Richberg, Alexander (ed.), Mori, Kensaku (ed.), Lassen-Schmidt, Bianca (ed.), Jacobs, Colin (ed.), Beichel, Reinhard (ed.), Gerard, Sarah (ed.)
- Illustrationer
- 49 Illustrations, color; 14 Illustrations, black and white; X, 166 p. 63 illus., 49 illus. in color.
- Dimensioner
- 234 x 156 x 10 mm
- Vikt
- Antal komponenter
- 1
- Komponenter
- 1 Paperback / softback
- ISBN
- 9783030624682
- 259 g
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Thoracic Image Analysis
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av Jens Petersen, Raul San Jose Estepar, Alexander Schmidt-Richberg, Sarah Gerard, Bianca Lassen-Schmidt874- Skickas inom 7-10 vardagar.
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Innehållsförteckning
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.