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Understanding and Interpreting Machine Learning in Medical Image Computing Appli

Description: Understanding and Interpreting Machine Learning in Medical Image Computing Applications by Danail Stoyanov, Zeike Taylor, Seyed Mostafa Kia, Ipek Oguz, Mauricio Reyes, Anne Martel, Lena Maier-Hein, Andre F. Marquand, Edouard Duchesnay, Tommy Löfstedt This book constitutes the refereed joint proceedings of the First International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2018, the First International Workshop on Deep Learning Fails, DLF 2018, and the First International Workshop on Interpretability of Machine Intelligence in Medical Image Computing, iMIMIC 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 4 full MLCN papers, the 6 full DLF papers, and the 6 full iMIMIC papers included in this volume were carefully reviewed and selected. The MLCN contributions develop state-of-the-art machine learning methods such as spatio-temporal Gaussian process analysis, stochastic variational inference, and deep learning for applications in Alzheimers disease diagnosis and multi-site neuroimaging data analysis; the DLF papers evaluate the strengths and weaknesses of DL and identifythe main challenges in the current state of the art and future directions; the iMIMIC papers cover a large range of topics in the field of interpretability of machine learning in the context of medical image analysis. FORMAT Paperback LANGUAGE English CONDITION Brand New Details ISBN3030026272 Language English ISBN-10 3030026272 ISBN-13 9783030026271 Format Paperback Pages 149 Year 2018 Publication Date 2018-10-24 Short Title Understanding and Interpreting Machine Learning in Medical Image Computing Applications DOI 10.1007/978-3-030-02628-8 Series Number 11038 Edition 1st Imprint Springer Nature Switzerland AG Place of Publication Cham Country of Publication Switzerland Illustrations 60 Illustrations, black and white; XVI, 149 p. 60 illus. Author Tommy Löfstedt Publisher Springer Nature Switzerland AG Edition Description 1st ed. 2018 Subtitle First International Workshops, MLCN 2018, DLF 2018, and iMIMIC 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16-20, 2018, Proceedings Edited by Tommy Löfstedt DEWEY 616.0754 Audience Professional & Vocational Series Image Processing, Computer Vision, Pattern Recognition, and Graphics We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:131799564;

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Understanding and Interpreting Machine Learning in Medical Image Computing Appli

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ISBN-13: 9783030026271

Book Title: Understanding and Interpreting Machine Learning in Medical Image

Item Height: 235 mm

Item Width: 155 mm

Author: Andre F. Marquand, Lena Maier-Hein, Zeike Taylor, Seyed Mostafa Kia, Tommy Loefstedt, Mauricio Reyes, Edouard Duchesnay, Danail Stoyanov, Anne Martel, Ipek Oguz

Publication Name: Understanding and Interpreting Machine Learning in Medical Image Computing Applications: First International Workshops, MLCN 2018, DLF 2018, and iMIMIC 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16-20, 2018, Proceedings

Format: Paperback

Language: English

Publisher: Springer Nature Switzerland Ag

Subject: Computer Science, Radiology

Publication Year: 2018

Type: Textbook

Item Weight: 267 g

Number of Pages: 149 Pages

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