Data & IT
Pocket
Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures
Tanveer Syeda-Mahmood • Miguel Ngel Gonzlez Ballester • Klaus Drechsler • Hayit Greenspan • Anant Madabhushi
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This book constitutes the refereed joint proceedings of the 10th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2020, and the 9th International Workshop on Clinical Image-Based Procedures, CLIP 2020, held in conjunction with the 23rd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2020, in Lima, Peru, in October 2020. The workshops were held virtually due to the COVID-19 pandemic. The 4 full papers presented at ML-CDS 2020 and the 9 full papers presented at CLIP 2020 were carefully reviewed and selected from numerous submissions to ML-CDS and 10 submissions to CLIP. The ML-CDS papers discuss machine learning on multimodal data sets for clinical decision support and treatment planning. The CLIP workshops provides a forum for work centered on specific clinical applications, including techniques and procedures based on comprehensive clinical image and other data.
- Format: Pocket/Paperback
- ISBN: 9783030609450
- Språk: Engelska
- Antal sidor: 138
- Utgivningsdatum: 2020-10-04
- Förlag: Springer Nature Switzerland AG