| 書目名稱 | Deep Learning for Cancer Diagnosis | | 編輯 | Utku Kose,Jafar Alzubi | | 視頻video | http://file.papertrans.cn/265/264603/264603.mp4 | | 概述 | Highlights recent advanced applications of Deep Learning for diagnosing cancer.Discusses relevant solutions for medical diagnosis using techniques such as CNN, LSTM, and Autoencoder Networks.Offers a | | 叢書名稱 | Studies in Computational Intelligence | | 圖書封面 |  | | 描述 | This book explores various applications of deep learning to the diagnosis of cancer,while also outlining the future face of deep learning-assisted cancer diagnostics. As is commonly known, artificial intelligence has paved the way for countless new solutions in the field of medicine. In this context, deep learning is a recent and remarkable sub-field, which can effectively cope with huge amounts of data and deliver more accurate results. As a vital research area, medical diagnosis is among those in which deep learning-oriented solutions are often employed..Accordingly, the objective of this book is to highlight recent advanced applications of deep learning for diagnosing different types of cancer. The target audience includes scientists, experts, MSc and PhD students, postdocs, and anyone interested in the subjects discussed. The book can be used as a reference work to support courses on artificial intelligence, medical and biomedicaleducation.. | | 出版日期 | Book 2021 | | 關(guān)鍵詞 | Artificial intelligence; Machine learning; Medical diagnosis; Autoencoder Networks; Brain tumours; Histop | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-15-6321-8 | | isbn_softcover | 978-981-15-6323-2 | | isbn_ebook | 978-981-15-6321-8Series ISSN 1860-949X Series E-ISSN 1860-9503 | | issn_series | 1860-949X | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
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