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Añadir al carritoCondición: New. Christopher Hayre is an Associate Professor at Monash University, Australia. He holds an Adjunct Professor position with RMIT University, Australia and Fiji National University. He has published on a range of topics involving qualitative and quantitative.
Idioma: Inglés
Publicado por Taylor & Francis Ltd Mai 2026, 2026
ISBN 10: 1032492201 ISBN 13: 9781032492209
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware - This edited book focuses on the application of AI and data analytics within medical imaging with contributions focussing on general radiography, cross-sectional imaging, and breast imaging.Artificial Intelligence and Data Analytics in Medical Imaging leverages the expertise of key practitioners, academics, and researchers who are recognised leaders in their respective fields. The chapters cover essential topics, including imaging modalities, radiotherapy, and future recommendations. The editors incorporate insights from recent publications and clinical practice, addressing how emerging technologies should be managed, implemented, and adapted in healthcare settings. Each chapter maintains a patient-centred focus while connecting to key literature in the field.This book acts as a cornerstone for undergraduate students, but importantly signposts to other key texts within the field of medical imaging. Further, academics will also find this text useful as it aims to enrich scholarly learning, teaching, and assessment in healthcare programmes nationally and internationally.
Idioma: Inglés
Publicado por Taylor & Francis Ltd, London, 2026
ISBN 10: 1032492201 ISBN 13: 9781032492209
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Añadir al carritoPaperback. Condición: new. Paperback. This edited book focuses on the application of AI and data analytics within medical imaging with contributions focussing on general radiography, cross-sectional imaging, and breast imaging.Artificial Intelligence and Data Analytics in Medical Imaging leverages the expertise of key practitioners, academics, and researchers who are recognised leaders in their respective fields. The chapters cover essential topics, including imaging modalities, radiotherapy, and future recommendations. The editors incorporate insights from recent publications and clinical practice, addressing how emerging technologies should be managed, implemented, and adapted in healthcare settings. Each chapter maintains a patient-centred focus while connecting to key literature in the field.This book acts as a cornerstone for undergraduate students, but importantly signposts to other key texts within the field of medical imaging. Further, academics will also find this text useful as it aims to enrich scholarly learning, teaching, and assessment in healthcare programmes nationally and internationally. This edited book focuses on the application of AI and data analytics within the three specialisms of medical imaging: diagnostic radiography (including fluoroscopy, computed tomography, breast imaging, ultrasound, and magnetic resonance imaging), radiotherapy and oncology, and nuclear medicine and molecular imaging. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Añadir al carritoPAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Idioma: Inglés
Publicado por Taylor & Francis Ltd, London, 2026
ISBN 10: 1032492201 ISBN 13: 9781032492209
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Añadir al carritoPaperback. Condición: new. Paperback. This edited book focuses on the application of AI and data analytics within medical imaging with contributions focussing on general radiography, cross-sectional imaging, and breast imaging.Artificial Intelligence and Data Analytics in Medical Imaging leverages the expertise of key practitioners, academics, and researchers who are recognised leaders in their respective fields. The chapters cover essential topics, including imaging modalities, radiotherapy, and future recommendations. The editors incorporate insights from recent publications and clinical practice, addressing how emerging technologies should be managed, implemented, and adapted in healthcare settings. Each chapter maintains a patient-centred focus while connecting to key literature in the field.This book acts as a cornerstone for undergraduate students, but importantly signposts to other key texts within the field of medical imaging. Further, academics will also find this text useful as it aims to enrich scholarly learning, teaching, and assessment in healthcare programmes nationally and internationally. This edited book focuses on the application of AI and data analytics within the three specialisms of medical imaging: diagnostic radiography (including fluoroscopy, computed tomography, breast imaging, ultrasound, and magnetic resonance imaging), radiotherapy and oncology, and nuclear medicine and molecular imaging. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Idioma: Inglés
Publicado por Taylor & Francis Ltd, London, 2026
ISBN 10: 1032492201 ISBN 13: 9781032492209
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 146,13
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Añadir al carritoPaperback. Condición: new. Paperback. This edited book focuses on the application of AI and data analytics within medical imaging with contributions focussing on general radiography, cross-sectional imaging, and breast imaging.Artificial Intelligence and Data Analytics in Medical Imaging leverages the expertise of key practitioners, academics, and researchers who are recognised leaders in their respective fields. The chapters cover essential topics, including imaging modalities, radiotherapy, and future recommendations. The editors incorporate insights from recent publications and clinical practice, addressing how emerging technologies should be managed, implemented, and adapted in healthcare settings. Each chapter maintains a patient-centred focus while connecting to key literature in the field.This book acts as a cornerstone for undergraduate students, but importantly signposts to other key texts within the field of medical imaging. Further, academics will also find this text useful as it aims to enrich scholarly learning, teaching, and assessment in healthcare programmes nationally and internationally. This edited book focuses on the application of AI and data analytics within the three specialisms of medical imaging: diagnostic radiography (including fluoroscopy, computed tomography, breast imaging, ultrasound, and magnetic resonance imaging), radiotherapy and oncology, and nuclear medicine and molecular imaging. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.