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Hybrid Image Processing Methods for Medical Image Examination

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Description:In view of better results expected from examination of medical dataset (images) with a 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, implementation of segmentation procedure and its evaluation, supported by pertinent case studies. Aimed at researchers/graduate students in 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.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Hybrid Image Processing Methods for Medical Image Examination. To get started finding Hybrid Image Processing Methods for Medical Image Examination, you are right to find our website which has a comprehensive collection of manuals listed.
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ISBN: 1000316564

Description: In view of better results expected from examination of medical dataset (images) with a 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, implementation of segmentation procedure and its evaluation, supported by pertinent case studies. Aimed at researchers/graduate students in 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.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Hybrid Image Processing Methods for Medical Image Examination. To get started finding Hybrid Image Processing Methods for Medical Image Examination, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Hybrid Image Processing Methods for Medical Image Examination

Hybrid Image Processing Methods for Medical Image Examination

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