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Synopsis
This book covers recent advancements in lung cancer and imaging, covering detection and classification. This volume examines Lung Nodule Detection, Lung Nodule and Features Extraction, and Modern Approaches for Lung Nodule Diagnosis. Nodule detection focuses on algorithmic and deep learning practises, and their related CT imaging and dynamic programming methods. The classification applications of texture and shape analysis for nodules are covered, including computerised methods for more effective detection. Finally, the book examines the modern approaches used for nodule diagnosis. Specific focus is placed on deep learning for automated classification, machine learning for data analysis, and CT automatic detection of nodules.
Key Features:
- Unique focus on advance work in detection system and classification systems.
- An updated reference for lung cancer detection via imaging.
- Focus on progressive deep learning and machine learning applications for more effective detection.
"synopsis" may belong to another edition of this title.
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Detection Systems in Lung Cancer and Imaging, Volume 2
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Detection Systems in Lung Cancer and Imaging, Volume 2
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Detection Systems in Lung Cancer and Imaging, Volume 2
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ISBN 10: 075033357X
ISBN 13: 9780750333573
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Detection Systems in Lung Cancer and Imaging, Volume 2
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Institute of Physics Publishing, GB, 2026
ISBN 10: 075033357X
ISBN 13: 9780750333573
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Detection Systems in Lung Cancer and Imaging, Volume 2 (Hardcover)
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Institute of Physics Publishing, Bristol, 2026
ISBN 10: 075033357X
ISBN 13: 9780750333573
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Hardcover. Condition: new. Hardcover. This book covers recent advancements in lung cancer and imaging, covering detection and classification. This volume examines Lung Nodule Detection, Lung Nodule and Features Extraction, and Modern Approaches for Lung Nodule Diagnosis. Nodule detection focuses on algorithmic and deep learning practises, and their related CT imaging and dynamic programming methods. The classification applications of texture and shape analysis for nodules are covered, including computerised methods for more effective detection. Finally, the book examines the modern approaches used for nodule diagnosis. Specific focus is placed on deep learning for automated classification, machine learning for data analysis, and CT automatic detection of nodules.Key Features:Unique focus on advance work in detection system and classification systems.An updated reference for lung cancer detection via imaging.Focus on progressive deep learning and machine learning applications for more effective detection. This book covers recent advancements in lung cancer and imaging, covering detection and classification. This volume examines Lung Nodule Detection, Lung Nodule and Features Extraction, and Modern Approaches for Lung Nodule Diagnosis. An essential read for academics working in lung cancer, data-mining, machine learning, deep learning and reinforcement learning. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780750333573
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Detection Systems in Lung Cancer and Imaging (Volume 2) (Iop eBooks)
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Detection Systems in Lung Cancer and Imaging, Volume 2 (Hardcover)
Published by
Institute of Physics Publishing, Bristol, 2026
ISBN 10: 075033357X
ISBN 13: 9780750333573
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Seller: CitiRetail, Stevenage, United Kingdom
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Hardcover. Condition: new. Hardcover. This book covers recent advancements in lung cancer and imaging, covering detection and classification. This volume examines Lung Nodule Detection, Lung Nodule and Features Extraction, and Modern Approaches for Lung Nodule Diagnosis. Nodule detection focuses on algorithmic and deep learning practises, and their related CT imaging and dynamic programming methods. The classification applications of texture and shape analysis for nodules are covered, including computerised methods for more effective detection. Finally, the book examines the modern approaches used for nodule diagnosis. Specific focus is placed on deep learning for automated classification, machine learning for data analysis, and CT automatic detection of nodules.Key Features:Unique focus on advance work in detection system and classification systems.An updated reference for lung cancer detection via imaging.Focus on progressive deep learning and machine learning applications for more effective detection. This book covers recent advancements in lung cancer and imaging, covering detection and classification. This volume examines Lung Nodule Detection, Lung Nodule and Features Extraction, and Modern Approaches for Lung Nodule Diagnosis. An essential read for academics working in lung cancer, data-mining, machine learning, deep learning and reinforcement learning. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9780750333573
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Detection Systems in Lung Cancer and Imaging, Volume 2
Published by
Institute of Physics Publishing, GB, 2026
ISBN 10: 075033357X
ISBN 13: 9780750333573
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Detection Systems in Lung Cancer and Imaging
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Detection Systems in Lung Cancer and Imaging, Volume 2 (Hardcover)
Published by
Institute of Physics Publishing, Bristol, 2026
ISBN 10: 075033357X
ISBN 13: 9780750333573
New
Hardcover
Seller: AussieBookSeller, Truganina, VIC, Australia
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Hardcover. Condition: new. Hardcover. This book covers recent advancements in lung cancer and imaging, covering detection and classification. This volume examines Lung Nodule Detection, Lung Nodule and Features Extraction, and Modern Approaches for Lung Nodule Diagnosis. Nodule detection focuses on algorithmic and deep learning practises, and their related CT imaging and dynamic programming methods. The classification applications of texture and shape analysis for nodules are covered, including computerised methods for more effective detection. Finally, the book examines the modern approaches used for nodule diagnosis. Specific focus is placed on deep learning for automated classification, machine learning for data analysis, and CT automatic detection of nodules.Key Features:Unique focus on advance work in detection system and classification systems.An updated reference for lung cancer detection via imaging.Focus on progressive deep learning and machine learning applications for more effective detection. This book covers recent advancements in lung cancer and imaging, covering detection and classification. This volume examines Lung Nodule Detection, Lung Nodule and Features Extraction, and Modern Approaches for Lung Nodule Diagnosis. An essential read for academics working in lung cancer, data-mining, machine learning, deep learning and reinforcement learning. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9780750333573