Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and ... 27 and October 1, 2021, Proceedings: 12969 - Brossura

Brossura

ISBN 10: 3030908739 ISBN 13: 9783030908737

Casa editrice: Springer, 2021

Riassunto

This book constitutes the refereed proceedings of the 10th&nbsp;International Workshop on Clinical Image-Based Procedures, CLIP 2021, Second MICCAI Workshop on Distributed and Collaborative Learning, DCL 2021, First MICCAI Workshop, LL-COVID19, First Secure and Privacy-Preserving Machine Learning for Medical Imaging Workshop and Tutorial, PPML 2021, held in conjunction with MICCAI 2021, in October 2021. The workshops were planned to take place in Strasbourg, France, but were held virtually due to the COVID-19 pandemic.<p>CLIP 2021 accepted 9 papers from the 13 submissions received. It focuses on holistic patient models for personalized healthcare with the goal to bring basic research methods closer to the clinical practice.<br></p><p>For DCL 2021, 4 papers from 7 submissions were accepted for publication. They deal with machine learning applied to problems where data cannot be stored in centralized databases and information privacy is a priority. </p><p>LL-COVID19 2021 accepted 2 papers out of 3 submissions dealing with the use of AI models in clinical practice. </p><p>And for PPML 2021, 2 papers were accepted from a total of 6 submissions, exploring the use of privacy techniques in the medical imaging community. </p>

Dettagli dell'edizione

• Editore: Springer
• Data di pubblicazione: 2021
• Lingua: Inglese
• ISBN 10: 3030908739
• ISBN 13: 9783030908737
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 216
• Redattore: Oyarzun Laura Cristina, Cardoso M. Jorge, Rosen-Zvi Michal, Kaissis Georgios, Linguraru Marius George, Shekhar Raj, Wesarg Stefan, Erdt Marius, Drechsler Klaus
• Contatto del produttore: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3,69115 Heidelberg, Germany; Heidelberg; 69115; Germania