Detection systems lung cancer (30 resultados)

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Condición: New.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Paperback or Softback. Condición: New. Detection Systems in Lung Cancer and Imaging, Volume 2. Book.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: As New. Unread book in perfect condition.

Taschenbuch. Condición: Neu. Neuware.

Taschenbuch. Condición: Neu. Neuware - 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.…

HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Hardback. Condición: New. New copy - Usually dispatched within 4 working days.

Hardback. Condición: New. New copy - Usually dispatched within 4 working days.

Hardback. Condición: New.

Hardcover. Condición: 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.…

HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Condición: New. In English.

Condición: New. In English.

Condición: New.

Hardback. Condición: New.

Condición: New.

Condición: New.

Hardcover. Condición: 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.…

Buch. Condición: Neu. Neuware - This book focuses on major trends and challenges in the detection of lung cancer, presenting work aimed at identifying new techniques and their use in biomedical analysis. This volume covers recent advancements in lung cancer and imaging detection and classification, examining the main applications of Computer aided diagnosis (CAD) relating to lung cancer: lung nodule segmentation, lung nodule classification, and Big Data in lung cancer. Ideal for academics working in lung cancer, data-mining, machine learning, deep learning and reinforcement learning, as well as industry professionals working in the areas of healthcare, lung cancer imaging, machine learning, deep learning and reinforcement learning, this edited collection comprises an essential reference for researchers at the forefront of the field, and provides a high-level entry point for more advanced students. 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. …

Buch. Condición: Neu. Neuware - 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.…

Paperback. Condición: new. Paperback. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Condición: 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.…