Machine Learning and AI Techniques in Interactive Medical Image Analysis

Name: Machine Learning and AI Techniques in Interactive Medical Image Analysis
Brand: IGI Global
SKU: 9781668446713
Price: 2098.63 RON
Availability: InStock

Autor: Sandeep Biswal, Lipismita Panigrahi

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Legare: Copertă tare

Editura: IGI Global

Disponibilitate: În depozitul extern

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The healthcare industry is predominantly moving towards affordable, accessible, and quality health c...

Informații despre carte

Autor

Sandeep Biswal, Lipismita Panigrahi

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2022

Pagini

248

EAN

9781668446713

ISBN

1668446715

Enbook ID

41944970

Editura

IGI Global

Greutate

671

Dimensiuni

183 x 260 x 18

Descriere completă

The healthcare industry is predominantly moving towards affordable, accessible, and quality health care. All organizations are striving to build communication compatibility among the wide range of devices that have operated independently. Recent developments in electronic devices have boosted the research in the medical imaging field. It incorporates several medical imaging techniques and achieves an important goal for health improvement all over the world. Despite the significant advances in high-resolution medical instruments, physicians cannot always obtain the full amount of information directly from the equipment outputs, and a large amount of data cannot be easily exploited without a computer. Machine Learning and AI Techniques in Interactive Medical Image Analysis discusses how clinical efficiency can be improved by investigating the different types of intelligent techniques and systems to get more reliable and accurate diagnostic conclusions. This book further introduces segmentation techniques to locate suspicious areas in medical images and increase the segmentation accuracy. Covering topics such as computer-aided detection, intelligent techniques, and machine learning, this premier reference source is a dynamic resource for IT specialists, computer scientists, diagnosticians, imaging specialists, medical professionals, hospital administrators, medical students, medical technicians, librarians, researchers, and academicians.

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