Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures
Produktnummer:
18875d429592bd4943a0bb9b9547f9f5f4
| Themengebiete: | artificial intelligence bioinformatics clinical decision support computer vision databases deep learning image analysis image processing image reconstruction image segmentation |
|---|---|
| Veröffentlichungsdatum: | 04.10.2020 |
| EAN: | 9783030609450 |
| Sprache: | Englisch |
| Seitenzahl: | 138 |
| Produktart: | Kartoniert / Broschiert |
| Herausgeber: | Drechsler, Klaus Erdt, Marius González Ballester, Miguel Ángel Greenspan, Hayit Karargyris, Alexandros Linguraru, Marius George Madabhushi, Anant Oyarzun Laura, Cristina Shekhar, Raj Syeda-Mahmood, Tanveer Wesarg, Stefan |
| Verlag: | Springer International Publishing |
| Untertitel: | 10th International Workshop, ML-CDS 2020, and 9th International Workshop, CLIP 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4–8, 2020, Proceedings |
Produktinformationen "Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures"
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.
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