Paperback. Condici�n: new. Paperback. Meta-learning, or learning to learn, has been gaining popularity in recent years to adapt to new tasks systematically and efficiently in machine learning. In the book, Meta-Learning Frameworks for Imaging Applications, experts from the fields of machine learning and imaging come together to explore the current state of meta-learning and its application to medical imaging and health informatics. The book presents an overview of the meta-learning framework, including common versions such as model-agnostic learning, memory augmentation, prototype networks, and learning to optimize. It also discusses how meta-learning can be applied to address fundamental limitations of deep neural networks, such as high data demand, computationally expensive training, and limited ability for task transfer. One critical topic in imaging is image segmentation, and the book explores how a meta-learning-based framework can help identify the best image segmentation algorithm, which would be particularly beneficial in the healthcare domain. This book is relevant to healthcare institutes, e-commerce companies, and educational institutions, as well as professionals and practitioners in the intelligent system, computational data science, network applications, and biomedical applications fields. It is also useful for domain developers and project managers from diagnostic and pharmacy companies involved in the development of medical expert systems. Additionally, graduate and master students in intelligent systems, big data management, computational intelligent approaches, computer vision, and biomedical science can use this book for their final projects and specific courses. "The book will bring together many experts from the domains of machine learning and imaging application to explore the current state of Meta-Learning, its application to medical imaging and health informatics, and its future directions. This book will give an overview of the Meta- Learning framework in Imaging Application"-- Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N� de ref. del art�culo: 9781668476604

Contactar al vendedor

Comprar nuevo

EUR 224,23

Convertir moneda

Gastos de env�o: EUR 44,02

De Reino Unido a Estados Unidos de America

Destinos, gastos y plazos de env�o

Cantidad disponible: 1 disponibles

A�adir al carrito

Imagen de archivo

Meta-Learning Frameworks for Imaging Applications

Publicado por IGI Global, 2023

ISBN 10: 1668476606 ISBN 13: 9781668476604

Nuevo PAP

Librería: PBShop.store UK, Fairford, GLOS, Reino Unido

Calificaci�n del vendedor: 4 de 5 estrellas

PAP. Condici�n: New. New Book. Shipped from UK. Established seller since 2000. N� de ref. del art�culo: GB-9781668476604

Contactar al vendedor

Comprar nuevo

EUR 273,72

Convertir moneda

Gastos de env�o: EUR 8,04

De Reino Unido a Estados Unidos de America

Destinos, gastos y plazos de env�o

Cantidad disponible: 1 disponibles

A�adir al carrito

Imagen de archivo

Meta-Learning Frameworks for Imaging Applications

Publicado por IGI Global, 2023

ISBN 10: 1668476606 ISBN 13: 9781668476604

Nuevo PAP

Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America

Calificaci�n del vendedor: 5 de 5 estrellas

PAP. Condici�n: New. New Book. Shipped from UK. Established seller since 2000. N� de ref. del art�culo: GB-9781668476604

Contactar al vendedor

Comprar nuevo

EUR 281,77

Convertir moneda

Gastos de env�o: GRATIS

A Estados Unidos de America

Destinos, gastos y plazos de env�o

Cantidad disponible: 1 disponibles

A�adir al carrito

Imagen del vendedor

Meta-Learning Frameworks for Imaging Applications

Ashok Sharma

Publicado por IGI Global, 2023

ISBN 10: 1668476606 ISBN 13: 9781668476604

Nuevo Taschenbuch

Impresi�n bajo demanda

Librería: AHA-BUCH GmbH, Einbeck, Alemania

Calificaci�n del vendedor: 5 de 5 estrellas

Taschenbuch. Condici�n: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Meta-learning, or learning to learn, has been gaining popularity in recent years to adapt to new tasks systematically and efficiently in machine learning. In the book, Meta-Learning Frameworks for Imaging Applications , experts from the fields of machine learning and imaging come together to explore the current state of meta-learning and its application to medical imaging and health informatics. The book presents an overview of the meta-learning framework, including common versions such as model-agnostic learning, memory augmentation, prototype networks, and learning to optimize. It also discusses how meta-learning can be applied to address fundamental limitations of deep neural networks, such as high data demand, computationally expensive training, and limited ability for task transfer. One critical topic in imaging is image segmentation, and the book explores how a meta-learning-based framework can help identify the best image segmentation algorithm, which would be particularly beneficial in the healthcare domain. This book is relevant to healthcare institutes, e-commerce companies, and educational institutions, as well as professionals and practitioners in the intelligent system, computational data science, network applications, and biomedical applications fields. It is also useful for domain developers and project managers from diagnostic and pharmacy companies involved in the development of medical expert systems. Additionally, graduate and master students in intelligent systems, big data management, computational intelligent approaches, computer vision, and biomedical science can use this book for their final projects and specific courses. N� de ref. del art�culo: 9781668476604

Contactar al vendedor