Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support
4th International Workshop, DLMIA 2018, and 8th International Workshop, ML-CDS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings
- Publisher
- Springer Nature
- Initial publish date
- Sep 2018
- Category
- Games
-
Paperback / softback
- ISBN
- 9783030008888
- Publish Date
- Sep 2018
- List Price
- $80.5
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Description
This book constitutes the refereed joint proceedings of the 4th International Workshop on Deep Learning in Medical Image Analysis, DLMIA 2018, and the 8th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2018, held in conjunction with the 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, in Granada, Spain, in September 2018.
The 39 full papers presented at DLMIA 2018 and the 4 full papers presented at ML-CDS 2018 were carefully reviewed and selected from 85 submissions to DLMIA and 6 submissions to ML-CDS. The DLMIA papers focus on the design and use of deep learning methods in medical imaging. The ML-CDS papers discuss new techniques of multimodal mining/retrieval and their use in clinical decision support.
About the authors
Danail Stoyanov's profile page
Gustavo Carneiro's profile page
Tanveer Syeda-Mahmood's profile page
Lena Maier-Hein's profile page
João Manuel R.S. Tavares' profile page
Andrew Bradley was born in Melbourne, Australia, in 1962. An avid outdoorsman and world traveller, Andrew has spent time in Toronto, Los Angeles and New York. He has lived and worked in his adopted province, Alberta, since 1996. A self-taught photographer, Andrew is also a pilot with an eye for aerial views.