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Books > Computing & IT > Applications of computing > Image processing

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Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures - 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 (Paperback, 1st ed. 2020) Loot Price: R1,408

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Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures - 10th International Workshop, ML-CDS...

Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures - 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 (Paperback, 1st ed. 2020)

Tanveer Syeda-Mahmood, Klaus Drechsler, Hayit Greenspan, Anant Madabhushi, Alexandros Karargyris, Marius George Linguraru, Cristina Oyarzun Laura, Raj Shekhar, Stefan Wesarg, Miguel Angel Gonzalez Ballester

Series: Image Processing, Computer Vision, Pattern Recognition, and Graphics, 12445

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Loot Price R1,408 Discovery Miles 14 080 | Repayment Terms: R132 pm x 12*

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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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Image Processing, Computer Vision, Pattern Recognition, and Graphics, 12445
Release date:	October 2020
First published:	2020
Editors:	Tanveer Syeda-Mahmood • Klaus Drechsler • Hayit Greenspan • Anant Madabhushi • Alexandros Karargyris • Marius George Linguraru • Cristina Oyarzun Laura • Raj Shekhar • Stefan Wesarg • Miguel Angel Gonzalez Ballester
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	138
Edition:	1st ed. 2020
ISBN-13:	978-3-03-060945-0
Categories:	Books > Social sciences > General Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > General Books > Computing & IT > Applications of computing > Databases > General Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Computing & IT > Applications of computing > Image processing > General Promotions
LSN:	3-03-060945-6
Barcode:	9783030609450

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Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures - 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 (Paperback, 1st ed. 2020)

Tanveer Syeda-Mahmood, Klaus Drechsler, Hayit Greenspan, Anant Madabhushi, Alexandros Karargyris, Marius George Linguraru, Cristina Oyarzun Laura, Raj Shekhar, Stefan Wesarg, Miguel Angel Gonzalez Ballester

Series: Image Processing, Computer Vision, Pattern Recognition, and Graphics, 12445

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