Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures - First International Workshop, UNSURE 2019, and 8th International Workshop, CLIP 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings (Paperback, 1st ed. 2019)

This book constitutes the refereed proceedings of the First International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2019, and the 8th International Workshop on Clinical Image-Based Procedures, CLIP 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. For UNSURE 2019, 8 papers from 15 submissions were accepted for publication. They focus on developing awareness and encouraging research in the field of uncertainty modelling to enable safe implementation of machine learning tools in the clinical world. CLIP 2019 accepted 11 papers from the 15 submissions received. The workshops provides a forum for work centred 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, 11840
Release date:	October 2019
First published:	2019
Editors:	Hayit Greenspan • Ryutaro Tanno • Marius Erdt • Tal Arbel • Christian Baumgartner • Adrian Dalca • Carole H. Sudre • William M Wells • Klaus Drechsler • Marius George Linguraru
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	192
Edition:	1st ed. 2019
ISBN-13:	978-3-03-032688-3
Categories:	Books > Computing & IT > Social & legal aspects of computing > Health & safety aspects of computing Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Computing & IT > Applications of computing > Image processing > General
LSN:	3-03-032688-8
Barcode:	9783030326883

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