Fuhua Lin – författare
2 132 kr
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750 kr
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849 kr
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In view of better results expected from examination of medical datasets (images) with hybrid (integration of thresholding and segmentation) image processing methods, this work focuses on implementation of possible hybrid image examination techniques for medical images. It describes various image thresholding and segmentation methods which are essential for the development of such a hybrid processing tool. Further, this book presents the essential details, such as test image preparation, implementation of a chosen thresholding operation, evaluation of threshold image, and implementation of segmentation procedure and its evaluation, supported by pertinent case studies. Aimed at researchers/graduate students in the medical image processing domain, image processing, and computer engineering, this book:
Provides broad background on various image thresholding and segmentation techniques
Discusses information on various assessment metrics and the confusion matrix
Proposes integration of the thresholding technique with the bio-inspired algorithms
Explores case studies including MRI, CT, dermoscopy, and ultrasound images
Includes separate chapters on machine learning and deep learning for medical image processing
849 kr
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In view of better results expected from examination of medical datasets (images) with hybrid (integration of thresholding and segmentation) image processing methods, this work focuses on implementation of possible hybrid image examination techniques for medical images. It describes various image thresholding and segmentation methods which are essential for the development of such a hybrid processing tool. Further, this book presents the essential details, such as test image preparation, implementation of a chosen thresholding operation, evaluation of threshold image, and implementation of segmentation procedure and its evaluation, supported by pertinent case studies. Aimed at researchers/graduate students in the medical image processing domain, image processing, and computer engineering, this book:
Provides broad background on various image thresholding and segmentation techniques
Discusses information on various assessment metrics and the confusion matrix
Proposes integration of the thresholding technique with the bio-inspired algorithms
Explores case studies including MRI, CT, dermoscopy, and ultrasound images
Includes separate chapters on machine learning and deep learning for medical image processing
2 167 kr
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1 059 kr
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2 413 kr
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2 845 kr
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Generative Intelligence and Intelligent Tutoring Systems
20th International Conference, ITS 2024, Thessaloniki, Greece, June 10–13, 2024, Proceedings, Part I
1 577 kr
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1 992 kr
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This book constitutes the refereed proceedings of the 20th International Conference on Generative Intelligence and Intelligent Tutoring Systems, ITS 2024, held in Thessaloniki, Greece, during June 10–13, 2024.
The 35 full papers and 28 short papers included in this book were carefully reviewed and selected from 88 submissions. This book also contains 2 invited talks. They were organized in topical sections as follows: Generative Intelligence and Tutoring Systems; Generative Intelligence and Healthcare Informatics; Human Interaction, Games and Virtual Reality; Neural Networks and Data Mining; Generative Intelligence and Metaverse; Security, Privacy and Ethics in Generative Intelligence; and Generative Intelligence for Applied Natural Language Processing.
Generative Intelligence and Intelligent Tutoring Systems
20th International Conference, ITS 2024, Thessaloniki, Greece, June 10–13, 2024, Proceedings, Part II
792 kr
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1 000 kr
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This book constitutes the refereed proceedings of the 20th International Conference on Generative Intelligence and Intelligent Tutoring Systems, ITS 2024, held in Thessaloniki, Greece, during June 10–13, 2024.
The 35 full papers and 28 short papers included in this book were carefully reviewed and selected from 88 submissions. This book also contains 2 invited talks. They were organized in topical sections as follows: Generative Intelligence and Tutoring Systems; Generative Intelligence and Healthcare Informatics; Human Interaction, Games and Virtual Reality; Neural Networks and Data Mining; Generative Intelligence and Metaverse; Security, Privacy and Ethics in Generative Intelligence; and Generative Intelligence for Applied Natural Language Processing.