This book provides technical details of the application of deep learning and machine learning in medical imaging for diagnosis brain, cardiovascular, liver, lung diseases. The text also explores the technical and ethical aspects of deep learning and machine learning applications in medical imaging.
"synopsis" may belong to another edition of this title.
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # CX-9780750322423
Quantity: 15 available
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New. Seller Inventory # 44515099-n
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New. Seller Inventory # 44515099-n
Quantity: Over 20 available
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition. Seller Inventory # 44515099
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: As New. Unread book in perfect condition. Seller Inventory # 44515099
Quantity: Over 20 available
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Condition: New. In. Seller Inventory # ria9780750322423_new
Quantity: Over 20 available
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Hardback. Condition: New. New copy - Usually dispatched within 4 working days. Seller Inventory # B9780750322423
Quantity: Over 20 available
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condition: new. Hardcover. This research and reference text explores the finer details of Deep Learning models. It provides a brief outline on popular models including convolution neural networks (CNN), deep belief networks (DBN), autoencoders, residual neural networks (Res Nets). The text discusses some of the Deep Learning-based applications in gene identification. Sections in the book explore the foundation and necessity of deep learning in radiology, the application of deep learning in the area of cardiovascular imaging and deep learning applications in the area of fatty liver disease characterization and COVID19, respectively.This reference text is highly relevant for medical professionals and researchers in the area of AI in medical imaging.Key Features:Discusses various diseases related to lung, heart, peripheral arterial imaging, as well as gene expression characterization and classificationExplores imaging applications, their complexities and the Deep Learning models employed to resolve them in detailProvides state-of-the-art contributions while addressing doubts in multimodal researchDetails the future of deep learning and big data in medical imaging This book provides technical details of the application of deep learning and machine learning in medical imaging for diagnosis brain, cardiovascular, liver, lung diseases. The text also explores the technical and ethical aspects of deep learning and machine learning applications in medical imaging. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780750322423
Seller: moluna, Greven, Germany
Gebunden. Condition: New. KlappentextThis research and reference text explores the finer details of Deep Learning models. It provides a brief outline on popular models including convolution neural networks (CNN), deep belief networks (DBN), autoencoders, resid. Seller Inventory # 598727936
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. Neuware - This book provides technical details of the application of deep learning and machine learning in medical imaging for diagnosis brain, cardiovascular, liver, lung diseases. The text also explores the technical and ethical aspects of deep learning and machine learning applications in medical imaging. Seller Inventory # 9780750322423