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OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging - Second International Workshop, OR 2.0 2019, and Second International Workshop, MLCN 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings (Paperback, 1st ed. 2019) Loot Price: R1,203
Discovery Miles 12 030
OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging - Second International Workshop, OR 2.0...

OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging - Second International Workshop, OR 2.0 2019, and Second International Workshop, MLCN 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings (Paperback, 1st ed. 2019)

Luping Zhou, Duygu Sarikaya, Seyed Mostafa Kia, Stefanie Speidel, Anand Malpani, Daniel Hashimoto, Mohamad Habes, Tommy Loefstedt, Kerstin Ritter, Hongzhi Wang

Series: Image Processing, Computer Vision, Pattern Recognition, and Graphics, 11796

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Loot Price R1,203 Discovery Miles 12 030 | Repayment Terms: R113 pm x 12*

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This book constitutes the refereed proceedings of the Second International Workshop on Context-Aware Surgical Theaters, OR 2.0 2019, and the Second International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. For OR 2.0 all 6 submissions were accepted for publication. They aim to highlight the potential use of machine vision and perception, robotics, surgical simulation and modeling, multi-modal data fusion and visualization, image analysis, advanced imaging, advanced display technologies, human-computer interfaces, sensors, wearable and implantable electronics and robots, visual attention models, cognitive models, decision support networks to enhance surgical procedural assistance, context-awareness and team communication in the operating theater, human-robot collaborative systems, and surgical training and assessment. MLCN 2019 accepted 6 papers out of 7 submissions for publication. They focus on addressing the problems of applying machine learning to large and multi-site clinical neuroimaging datasets. The workshop aimed to bring together experts in both machine learning and clinical neuroimaging to discuss and hopefully bridge the existing challenges of applied machine learning in clinical neuroscience.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Image Processing, Computer Vision, Pattern Recognition, and Graphics, 11796
Release date: October 2019
First published: 2019
Editors: Luping Zhou • Duygu Sarikaya • Seyed Mostafa Kia • Stefanie Speidel • Anand Malpani • Daniel Hashimoto • Mohamad Habes • Tommy Loefstedt • Kerstin Ritter • Hongzhi Wang
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 114
Edition: 1st ed. 2019
ISBN-13: 978-3-03-032694-4
Categories: Books > Computing & IT > Applications of computing > Artificial intelligence > General
Books > Computing & IT > Applications of computing > Image processing > General
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LSN: 3-03-032694-2
Barcode: 9783030326944

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