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Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics: Disease Detection, Organ Segmentation, and Database Construction and Mining - Rilegato
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This book reviews the state of the art in deep learning approaches to high-performance robust disease detection, robust and accurate organ segmentation in medical image computing (radiological and pathological imaging modalities), and the construction and mining of large-scale radiology databases. It particularly focuses on the application of convolutional neural networks, and on recurrent neural networks like LSTM, using numerous practical examples to complement the theory. The book’s chief features are as follows: It highlights how deep neural networks can be used to address new questions and protocols, and to tackle current challenges in medical image computing; presents a comprehensive review of the latest research and literature; and describes a range of different methods that employ deep learning for object or landmark detection tasks in 2D and 3D medical imaging. In addition, the book examines a broad selection of techniques for semantic segmentation using deep learning principles in medical imaging; introduces a novel approach to text and image deep embedding for a large-scale chest x-ray image database; and discusses how deep learning relational graphs can be used to organize a sizable collection of radiology findings from real clinical practice, allowing semantic similarity-based retrieval.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
L'autore
Dr. Le Lu is the Director of Ping An Technology US Research Labs, and an adjunct faculty member at Johns Hopkins University, USA.
Dr. Xiaosong Wang is a Senior Applied Research Scientist at Nvidia Corp., USA.
Dr. Gustavo Carneiro is an Associate Professor at the University of Adelaide, Australia.
Dr. Lin Yang is an Associate Professor at the University of Florida, USA.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
- EditoreSpringer-Nature New York Inc
- Data di pubblicazione2019
- ISBN 10 3030139689
- ISBN 13 9783030139681
- RilegaturaCopertina rigida
- LinguaInglese
- Numero edizione1
- Numero di pagine476
- RedattoreLu Le, Wang Xiaosong, Carneiro Gustavo, Yang Lin
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Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics: Disease Detection, Organ Segmentation, and Database . in Computer Vision and Pattern Recognition) [Hardcover] Lu, Le; Wang, Xiaosong; Carneiro, Gustavo and Yang, Lin
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ISBN 10: 3030139689
ISBN 13: 9783030139681
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Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics (Advances in Computer Vision and Pattern Recognition)
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Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Reviews the state of the art in deep learning approaches to robust disease detection, organ segmentation in medical image computing, and the construction and mining of large-scale radiology databasesParticularly focuses on the application of convo. Codice articolo 267123481
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