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Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserv, Oyarzun Laura Cristina, Cardoso M. Jorge, Rosen-Zvi Michal


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Автор: Oyarzun Laura Cristina, Cardoso M. Jorge, Rosen-Zvi Michal
Название:  Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserv
ISBN: 9783030908737
Издательство: Springer
Классификация:


ISBN-10: 3030908739
Обложка/Формат: Paperback
Страницы: 218
Вес: 0.31 кг.
Дата издания: 14.11.2021
Серия: Image processing, computer vision, pattern recognition, and graphics
Язык: English
Издание: 1st ed. 2021
Иллюстрации: 67 illustrations, color; 11 illustrations, black and white; xxv, 190 p. 78 illus., 67 illus. in color.
Размер: 23.39 x 15.60 x 1.17 cm
Читательская аудитория: Professional & vocational
Подзаголовок: 10th workshop, clip 2021, second workshop, dcl 2021, first workshop, ll-covid19 2021, and first workshop and tutorial, ppml 2021, held in conjunction with miccai 2021, strasbourg, france, september 27 and october 1, 2021, proceedings
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание: Intestine segmentation with small computational cost for diagnosis assistance of ileus and intestinal obstruction.- Generation of Patient-Specific, Ligamentoskeletal, Finite Element Meshes for Scoliosis Correction Planning.- Bayesian Graph Neural Networks For EEG-based Emotion Recognition.- ViTBIS: Vision Transformer for Biomedical Image Segmentation.- Attention-guided pancreatic duct segmentation from abdominal CT volumes.- Development of the Next Generation Hand-Held Doppler With Waveform Phasicity Predictive Capabilities Using Deep Learning.- Learning from mistakes: an error-driven mechanism to improve segmentation performance based on expert feedback.- TMJOAI: an artificial web-based intelligence tool for early diagnosis of the Temporomandibular Joint Osteoarthritis.- COVID-19 Infection Segmentation from Chest CT Images Based on Scale Uncertainty.- Multi-task Federated Learning for Heterogeneous Pancreas Segmentation.- Federated Learning in the Cloud for Analysis of Medical Images - Experience with Open Source Frameworks.- On the Fairness of Swarm Learning in Skin Lesion Classification.- Lessons learned from the development and application of medical imaging-based AI technologies for combating COVID-19: why discuss, what next.- The Role of Pleura and Adipose in Lung Ultrasound AI.- DuCN: Dual-children Network for Medical Diagnosis and Similar Case Recommendation towards COVID-19.- Data imputation and reconstruction of distributed Parkinsons disease clinical assessments: A comparative evaluation of two aggregation algorithms.- Defending Medical Image Diagnostics against Privacy Attacks using Generative Methods: Application to Retinal Diagnostics.


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