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Digital Pathology / / by Yves Sucaet, Wim Waelput



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Autore: Sucaet Yves Visualizza persona
Titolo: Digital Pathology / / by Yves Sucaet, Wim Waelput Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Edizione: 1st ed. 2014.
Descrizione fisica: 1 online resource (87 p.)
Disciplina: 616.0750285
Soggetto topico: Health informatics
Optical data processing
Pathology
Radiology
Health Informatics
Image Processing and Computer Vision
Imaging / Radiology
Persona (resp. second.): WaelputWim
Note generali: Description based upon print version of record.
Nota di bibliografia: Includes bibliographical references at the end of each chapters and index.
Nota di contenuto: Digital Pathology’s Past to Present -- Hardware and Software -- Applications -- Image Analysis -- Use Cases -- A Bright Future.
Sommario/riassunto: Digital pathology has experienced exponential growth, in terms of its technology and applications, since its inception just over a decade ago. Though it has yet to be approved for primary diagnostics, its values as a teaching tool, facilitator of second opinions and quality assurance reviews, and research are becoming, if not already, undeniable. It also offers the hope of providing pathology consultant and educational services to under-served areas, including regions of the world that could not possibly sustain this level of services otherwise. And this is just the beginning, as its adoption by the also rapidly-emerging fields of medical systems biology and 3D tissue imaging indicate. This work describes how digital pathology not only has the potential to dramatically impact medical education and the delivery of health care, but also to exert an immensely positive influence worldwide, including in countries and regions that normally fail to benefit from such technological advances.
Titolo autorizzato: Digital Pathology  Visualizza cluster
ISBN: 3-319-08780-0
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910298974503321
Lo trovi qui: Univ. Federico II
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Serie: SpringerBriefs in Computer Science, . 2191-5768