Isbn: 9780128241455 - deep learning for medical applications with unique data (7 risultati)

Deep Learning for Medical Applications With Unique Data
Gupta, Deepak (EDT); Kose, Utku (EDT); Khanna, Ashish (EDT); Balas, Valentina Emilia (EDT)
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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EUR 208,99
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Deep Learning for Medical Applications With Unique Data
Gupta, Deepak (EDT); Kose, Utku (EDT); Khanna, Ashish (EDT); Balas, Valentina Emilia (EDT)
- Brossura
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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EUR 208,98
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Deep Learning for Medical Applications With Unique Data
Gupta, Deepak (EDT); Kose, Utku (EDT); Khanna, Ashish (EDT); Balas, Valentina Emilia (EDT)
- Brossura
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Come nuovo
EUR 212,46
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Condizione: As New. Unread book in perfect condition.

Deep Learning for Medical Applications With Unique Data
Gupta, Deepak (EDT); Kose, Utku (EDT); Khanna, Ashish (EDT); Balas, Valentina Emilia (EDT)
- Brossura
Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 228,34
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Condizione: New.

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Da: moluna, Greven, Germaniamoluna
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Condizione: New. Introduces deep learning, demonstrating concepts for a wide variety of medical applications using unique data, excluding research with ready datasets Encompasses a wide variety of biomedical applications, including unsupervised learning, n.

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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 334,45
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Taschenbuch. Condizione: Neu. Neuware - Deep Learning for Medical Applications with Unique Data informs readers about the most recent deep learning-based medical applications in which only unique data gathered in real cases are used. The book provides examples of how deep learning can be used in different problem areas and frameworks in both clinical and research settings, including medical image analysis, medical image registration, time series analysis, medical data synthesis, drug discovery, and pre-processing operations. The volume discusses not only positive findings, but also negative ones obtained by deep learning techniques, including the use of newly developed deep learning techniques rarely reported in the existing literature. The book excludes research works with ready data sets and includes only unique data use to better understand the state of deep learning in real-world cases, along with the feedback and user experiences from physicians and medical staff for applied deep learning-based solutions. Other applications presented in the book include hybrid solutions with deep learning support, disease diagnosis with deep learning focusing on rare diseases and cancer, patient care and treatment, genomics research, as well as research on robotics and autonomous systems.…