0
Your cart

Your cart is empty

Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning

Buy Now

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, 1st ed. 2018) Loot Price: R1,557
Discovery Miles 15 570
Understanding and Interpreting Machine Learning in Medical Image Computing Applications - First International Workshops, MLCN...

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, 1st ed. 2018)

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

Series: Lecture Notes in Computer Science, 11038

 (sign in to rate)
Loot Price R1,557 Discovery Miles 15 570 | Repayment Terms: R146 pm x 12*

Bookmark and Share

Expected to ship within 10 - 15 working days

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 identify the 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.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Lecture Notes in Computer Science, 11038
Release date: October 2018
First published: 2018
Editors: Danail Stoyanov • Zeike Taylor • Seyed Mostafa Kia • Ipek Oguz • Mauricio Reyes • Anne Martel • Lena Maier-Hein • Andre F. Marquand • Edouard Duchesnay • Tommy Loefstedt
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 149
Edition: 1st ed. 2018
ISBN-13: 978-3-03-002627-1
Categories: Books > Medicine > Other branches of medicine > Medical imaging > General
Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision
Books > Computing & IT > Applications of computing > Image processing > General
LSN: 3-03-002627-2
Barcode: 9783030026271

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!

Partners