Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support

Beschreibung

This book constitutes the refereed joint proceedings of the Second International Workshop on Interpretability of Machine Intelligence in Medical Image Computing, iMIMIC 2019, and the 9th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2019, held in conjunction with the 22nd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2019, in Shenzhen, China, in October 2019.

The 7 full papers presented at iMIMIC 2019 and the 3 full papers presented at ML-CDS 2019 were carefully reviewed and selected from 10 submissions to iMIMIC and numerous submissions to ML-CDS. The iMIMIC papers focus on introducing the challenges and opportunities related to the topic of interpretability of machine learning systems in the context of medical imaging and computer assisted intervention. The ML-CDS papers discuss machine learning on multimodal data sets for clinical decision support and treatment planning. 

Autor*in

Kenji Suzuki

Themen in »Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support«

artificial intelligence clinical decision support computer assisted intervention deep learning fuzzy control fuzzy logic fuzzy models fuzzy rules fuzzy sets fuzzy systems image analysis image processing interpretability linguistics machine learning

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