Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures
Author | : Tanveer Syeda-Mahmood |
Publisher | : Springer Nature |
Total Pages | : 147 |
Release | : 2020-10-03 |
ISBN-10 | : 9783030609467 |
ISBN-13 | : 3030609464 |
Rating | : 4/5 (67 Downloads) |
Book excerpt: 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.