Machine Learning Medical Applications (131 results)
Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications
Jena, Om Prakash (EDT); Bhushan, Bharat (EDT); Kose, Utku (EDT)
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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
Stoyanov, Danail (EDT); Taylor, Zeike (EDT); Kia, Seyed Mostafa (EDT); Oguz, Ipek (EDT); Reyes, Mauricio (EDT)
Language: English
Published by Springer, 2018
- Softcover
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Language: English
Published by Springer, 2018
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Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications
Jena, Om Prakash (EDT); Bhushan, Bharat (EDT); Kose, Utku (EDT)
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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
Stoyanov, Danail (EDT); Taylor, Zeike (EDT); Kia, Seyed Mostafa (EDT); Oguz, Ipek (EDT); Reyes, Mauricio (EDT)
Language: English
Published by Springer, 2018
- Softcover
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Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications
Jena, Om Prakash (EDT); Bhushan, Bharat (EDT); Kose, Utku (EDT)
- Softcover
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Language: English
Published by Springer 2018-10, 2018
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Language: English
Published by Springer, 2018
- Softcover
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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
Stoyanov, Danail (EDT); Taylor, Zeike (EDT); Kia, Seyed Mostafa (EDT); Oguz, Ipek (EDT); Reyes, Mauricio (EDT)
Language: English
Published by Springer, 2018
- Softcover
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Language: English
Published by Springer, 2018
- Softcover
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Condition: New. 1st ed. 2018 edition NO-PA16APR2015-KAP.
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Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications
Jena, Om Prakash (EDT); Bhushan, Bharat (EDT); Kose, Utku (EDT)
- Softcover
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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
Stoyanov, Danail (EDT); Taylor, Zeike (EDT); Kia, Seyed Mostafa (EDT); Oguz, Ipek (EDT); Reyes, Mauricio (EDT)
Language: English
Published by Springer, 2018
- Softcover
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- Softcover
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Condition: New. pages cm First edition Includes bibliographical references and index.
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Language: English
Published by Springer-Verlag New York Inc, 2018
- Softcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications
Jena, Om Prakash (EDT); Bhushan, Bharat (EDT); Kose, Utku (EDT)
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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- Softcover
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Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications
Jena, Om Prakash (Editor)/ Bhushan, Bharat (Editor)/ Kose, Utku (Editor)
- Softcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Language: English
Published by Springer, 2018
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 Worksho…p 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 evaluatethe 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.
More imagesLanguage: English
Published by Springer, 2018
- Softcover
Seller: preigu, Osnabrück, Germanypreigu
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Taschenbuch. Condition: Neu. 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 | Danail Stoyanov (u. a.) | Taschenbuch | Lecture Not…es in Computer Science | xvi | Englisch | 2018 | Springer | EAN 9783030026271 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
- Hardcover
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Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications
Jena, Om Prakash (EDT); Bhushan, Bharat (EDT); Kose, Utku (EDT)
- Hardcover
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- Hardcover
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Language: English
Published by Springer, 2018
- Softcover
Seller: Mispah books, Redhill, SURRE, United KingdomMispah books
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Language: English
Published by Springer International Publishing AG, Cham, 2025
- Hardcover
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Hardcover. Condition: new. Hardcover. This book explains medical image processing and analysis using deep learning algorithms to analyze medical data. It focuses on the latest achievements and developments in applying this analysis to medical imaging, clinical, and other healthcare applications.The book covers among other areas:…Image acquisition and formation.Computer-aided diagnosis.Image classification.Feature extraction.Image enhancement/segmentation.Medical image processing issues such as segmentation, visualization, registration, and navigation may seem to be distinct, yet they are all intertwined in the process of resolving clinical bottlenecks. Using deep learning algorithms, researchers were able to achieve record-breaking performance and set the bar for future research. Due to the extensive quantity of medical imaging data of CT scan, ultrasound, and MRI, there is widespread use of machine learning, specifically deep learning, to discover specific patterns on such data. Such large data is well quantified by deep learning models. Deep learning is now being utilized, customized, and particularly developed for medical image analysis, as opposed to when it was first introduced to the community. Having learned more about the techniques, researchers have come up with innovative ideas for combining artificial intelligence (AI) with neural networks to solve difficult issues like medical image reconstruction. The key features of this book are:Machine learning and deep learning applications.Medical imaging applications.Feature extraction and analysis.Medical image classification, segmentation, recognition, and registration.Medical image analysis and enhancement.Handling medical image dataset. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
