Published by The Institution of Engineering and Technology, 2023
ISBN 10: 1839537930 ISBN 13: 9781839537936
Language: English
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Published by The Institution of Engineering and Technology, 2023
ISBN 10: 1839537930 ISBN 13: 9781839537936
Language: English
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Published by The Institution of Engineering and Technology, 2023
ISBN 10: 1839537930 ISBN 13: 9781839537936
Language: English
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Published by The Institution of Engineering and Technology, 2023
ISBN 10: 1839537930 ISBN 13: 9781839537936
Language: English
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Published by The Institution of Engineering and Technology, 2023
ISBN 10: 1839537930 ISBN 13: 9781839537936
Language: English
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Published by The Institution of Engineering and Technology, 2023
ISBN 10: 1839537930 ISBN 13: 9781839537936
Language: English
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Published by Institution of Engineering and Technology, GB, 2023
ISBN 10: 1839537930 ISBN 13: 9781839537936
Language: English
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Hardback. Condition: New. Medical images, in various formats, are used by clinicians to identify abnormalities or markers associated with certain conditions, such as cancers, diseases, abnormalities or other adverse health conditions. Deep learning algorithms use vast volumes of data to train the computer to recognise certain features in the images that are associated with the disease or condition that you wish to identify. Whilst analysing the images by eye can take a lot of time, deep learning algorithms have the benefit of reviewing medical images at a faster rate than a human can, which aids the clinician, speeding up diagnoses and freeing up clinicians' time for other duties. Deep Learning in Medical Image Processing and Analysis introduces the fundamentals of deep learning for biomedical image analysis for applications including ophthalmology, cancer detection and heart disease. The book considers the principles of multi-instance feature selection, swarm optimisation, parallel processing models, artificial neural networks, support vector machines, as well as their design and optimisation, in biomedical applications. Topics such as data security, patient confidentiality, effectiveness and reliability will also be discussed. Written by an international team of experts, this edited book covers principles and applications for industry and academic researchers, scientists, engineers, developers, and designers in the fields of machine learning, deep learning, AI, image processing, signal processing, computer science or related fields. It will also be of interest to standards bodies and regulators, and clinicians using deep learning models.
Published by The Institution of Engineering and Technology, 2023
ISBN 10: 1839537930 ISBN 13: 9781839537936
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Published by Inst of Engineering & Technology, 2023
ISBN 10: 1839537930 ISBN 13: 9781839537936
Language: English
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Add to basketHardcover. Condition: Brand New. 400 pages. 9.21x6.14x1.02 inches. In Stock.
Published by Institution of Engineering and Technology, GB, 2023
ISBN 10: 1839537930 ISBN 13: 9781839537936
Language: English
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Add to basketHardback. Condition: New. Medical images, in various formats, are used by clinicians to identify abnormalities or markers associated with certain conditions, such as cancers, diseases, abnormalities or other adverse health conditions. Deep learning algorithms use vast volumes of data to train the computer to recognise certain features in the images that are associated with the disease or condition that you wish to identify. Whilst analysing the images by eye can take a lot of time, deep learning algorithms have the benefit of reviewing medical images at a faster rate than a human can, which aids the clinician, speeding up diagnoses and freeing up clinicians' time for other duties. Deep Learning in Medical Image Processing and Analysis introduces the fundamentals of deep learning for biomedical image analysis for applications including ophthalmology, cancer detection and heart disease. The book considers the principles of multi-instance feature selection, swarm optimisation, parallel processing models, artificial neural networks, support vector machines, as well as their design and optimisation, in biomedical applications. Topics such as data security, patient confidentiality, effectiveness and reliability will also be discussed. Written by an international team of experts, this edited book covers principles and applications for industry and academic researchers, scientists, engineers, developers, and designers in the fields of machine learning, deep learning, AI, image processing, signal processing, computer science or related fields. It will also be of interest to standards bodies and regulators, and clinicians using deep learning models.
Published by Institution of Engineering and Technology, GB, 2023
ISBN 10: 1839537930 ISBN 13: 9781839537936
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
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Add to basketHardback. Condition: New. Medical images, in various formats, are used by clinicians to identify abnormalities or markers associated with certain conditions, such as cancers, diseases, abnormalities or other adverse health conditions. Deep learning algorithms use vast volumes of data to train the computer to recognise certain features in the images that are associated with the disease or condition that you wish to identify. Whilst analysing the images by eye can take a lot of time, deep learning algorithms have the benefit of reviewing medical images at a faster rate than a human can, which aids the clinician, speeding up diagnoses and freeing up clinicians' time for other duties. Deep Learning in Medical Image Processing and Analysis introduces the fundamentals of deep learning for biomedical image analysis for applications including ophthalmology, cancer detection and heart disease. The book considers the principles of multi-instance feature selection, swarm optimisation, parallel processing models, artificial neural networks, support vector machines, as well as their design and optimisation, in biomedical applications. Topics such as data security, patient confidentiality, effectiveness and reliability will also be discussed. Written by an international team of experts, this edited book covers principles and applications for industry and academic researchers, scientists, engineers, developers, and designers in the fields of machine learning, deep learning, AI, image processing, signal processing, computer science or related fields. It will also be of interest to standards bodies and regulators, and clinicians using deep learning models.
Published by Institution Of Engineering & Technology Okt 2023, 2023
ISBN 10: 1839537930 ISBN 13: 9781839537936
Language: English
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Add to basketBuch. Condition: Neu. Neuware - This book introduces the fundamentals of deep learning for biomedical image analysis for applications including ophthalmology, cancer detection and heart disease. The book discusses multimedia data analysis algorithms and the principles of feature selection, optimisation and analysis.
Published by Institution of Engineering and Technology, GB, 2023
ISBN 10: 1839537930 ISBN 13: 9781839537936
Language: English
Seller: Rarewaves.com UK, London, United Kingdom
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Add to basketHardback. Condition: New. Medical images, in various formats, are used by clinicians to identify abnormalities or markers associated with certain conditions, such as cancers, diseases, abnormalities or other adverse health conditions. Deep learning algorithms use vast volumes of data to train the computer to recognise certain features in the images that are associated with the disease or condition that you wish to identify. Whilst analysing the images by eye can take a lot of time, deep learning algorithms have the benefit of reviewing medical images at a faster rate than a human can, which aids the clinician, speeding up diagnoses and freeing up clinicians' time for other duties. Deep Learning in Medical Image Processing and Analysis introduces the fundamentals of deep learning for biomedical image analysis for applications including ophthalmology, cancer detection and heart disease. The book considers the principles of multi-instance feature selection, swarm optimisation, parallel processing models, artificial neural networks, support vector machines, as well as their design and optimisation, in biomedical applications. Topics such as data security, patient confidentiality, effectiveness and reliability will also be discussed. Written by an international team of experts, this edited book covers principles and applications for industry and academic researchers, scientists, engineers, developers, and designers in the fields of machine learning, deep learning, AI, image processing, signal processing, computer science or related fields. It will also be of interest to standards bodies and regulators, and clinicians using deep learning models.
Published by Institution of Engineering and Technology, 2023
ISBN 10: 1839537930 ISBN 13: 9781839537936
Language: English
Seller: PBShop.store US, Wood Dale, IL, U.S.A.
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Published by Institution of Engineering and Technology, 2023
ISBN 10: 1839537930 ISBN 13: 9781839537936
Language: English
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Add to basketHRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Published by Institution of Engineering and Technology, 2023
ISBN 10: 1839537930 ISBN 13: 9781839537936
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Add to basketHardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 526.