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Titlebook: Deep Learning for Medical Decision Support Systems; Utku Kose,Omer Deperlioglu,Bogdan Patrut Book 2021 The Editor(s) (if applicable) and T

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發(fā)表于 2025-3-21 18:35:36 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Deep Learning for Medical Decision Support Systems
編輯Utku Kose,Omer Deperlioglu,Bogdan Patrut
視頻videohttp://file.papertrans.cn/265/264610/264610.mp4
概述Presents innovative applications of Deep Learning-based solutions for medical education and decision support systems.Covers advanced applications of Deep Learning techniques such as CNN, LSTM, Belief
叢書名稱Studies in Computational Intelligence
圖書封面Titlebook: Deep Learning for Medical Decision Support Systems;  Utku Kose,Omer Deperlioglu,Bogdan Patrut Book 2021 The Editor(s) (if applicable) and T
描述This book explores various applications of deep learning-oriented diagnosis leading to decision support, while also outlining the future face of medical decision support systems. Artificial intelligence has now become a ubiquitous aspect of modern life, and especially machine learning enjoysgreat popularity, since it offers techniques that are capable of learning from samples to solve newly encountered cases. Today, a recent form of machine learning, deep learning, is being widely used with large, complex quantities of data, because today’s problems require detailed analyses of more data. This is critical, especially in fields such as medicine.?.Accordingly, the objective of this book is to provide the essentials of and highlight recent applications of deep learning architectures for medical decision support systems. The target audience includes scientists, experts, MSc and PhD students, postdocs, and any readers interested in the subjectsdiscussed. The book canbe used as a reference work to support courses on artificial intelligence, machine/deep learning, medical and biomedicaleducation.??.
出版日期Book 2021
關(guān)鍵詞Artificial intelligence; Machine learning; Medical education; Medical image analysis; Hybrid deep learni
版次1
doihttps://doi.org/10.1007/978-981-15-6325-6
isbn_softcover978-981-15-6327-0
isbn_ebook978-981-15-6325-6Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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Deep Learning for Medical Decision Support Systems
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Diagnosing of Diabetic Retinopathy with Image Dehazing and Capsule Network,ss so that early diagnosis has taken many steps away in terms of having the highest priority in eliminating or at least slowing down disease factors (causing blindness) and so that reducing the rates of blindness at the final [., .].
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Book 2021al decision support systems. Artificial intelligence has now become a ubiquitous aspect of modern life, and especially machine learning enjoysgreat popularity, since it offers techniques that are capable of learning from samples to solve newly encountered cases. Today, a recent form of machine learn
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Seppo Honkapohja,Frank Westermannss so that early diagnosis has taken many steps away in terms of having the highest priority in eliminating or at least slowing down disease factors (causing blindness) and so that reducing the rates of blindness at the final [., .].
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1860-949X tions of Deep Learning techniques such as CNN, LSTM, Belief This book explores various applications of deep learning-oriented diagnosis leading to decision support, while also outlining the future face of medical decision support systems. Artificial intelligence has now become a ubiquitous aspect of
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