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Understanding and Interpreting Machine Learning in Medical Image Computing Ap...

Description: 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, Paperback by Stoyanov, Danail (EDT); Taylor, Zeike (EDT); Kia, Seyed Mostafa (EDT); Oguz, Ipek (EDT); Reyes, Mauricio (EDT), ISBN 3030026272, ISBN-13 9783030026271, Brand New, Free P&P in the UK 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 Alzheimer's 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.  

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Location: Castle Donington

End Time: 2024-12-28T15:54:19.000Z

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Understanding and Interpreting Machine Learning in Medical Image Computing Ap...

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Book Title: Understanding and Interpreting Machine Learning in Medical Image

Item Height: 235 mm

Item Width: 155 mm

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

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

Subject: Computer Science, Radiology

Publication Year: 2018

Type: Textbook

Item Weight: 267 g

Number of Pages: 149 Pages

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