müller heimo (6 Ergebnisse)

Paperback. Zustand: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Originalbroschur. Zustand: Sehr gut. 116 S. Neuwertig. - STELLA ROLLIG Video als Zumutung. Fallbeispiel (HERS): Zum Ausstellen zeitgebundener Kunst -- KLAUS VOGEL Science meets Art. Die gestalterische Sprache von Wissenschaftsausstellungen -- HELMUT LACKNER Voraussetzungen und Ergebnisse der Neueinrichtung des Technischen Museums Wien -- WOLFGANG KOS Müssen Beschriftungen auf dem Boden kleben? Über das anhaltende Desinteresse der Ausstellungsgestalter am Text-Management -- HEIMO HOFGARTNER / KATIA SCHURL "Solchen Plunder habe ich auch zu Hause, hätte nie gedacht, daß das für eine Ausstellung reicht." Reflexionen über das Ausstellungsprojekt "Berg der Erinnerungen" von Graz 2003 Kulturhauptstadt Europas. ISBN 9783851323931 Sprache: Deutsch Gewicht in Gramm: 159.

Zustand: New. pp. 341.

Paperback. Zustand: Brand New. 356 pages. 9.25x6.10x0.94 inches. In Stock.

Taschenbuch. Zustand: Neu. Neuware -Data driven Artificial Intelligence (AI) and Machine Learning (ML) in digital pathology, radiology, and dermatology is very promising. In specific cases, for example, Deep Learning (DL), even exceeding human performance. However, in the context of medicine it is important for a human expert to verify the outcome. Consequently, there is a need for transparency and re-traceability of state-of-the-art solutions to make them usable for ethical responsible medical decision support.Moreover, big data is required for training, covering a wide spectrum of a variety of human diseases in different organ systems. These data sets must meet top-quality and regulatory criteria and must be well annotated for ML at patient-, sample-, and image-level. Here biobanks play a central and future role in providing large collections of high-quality, well-annotated samples and data. The main challenges are finding biobanks containing ¿¿fit-for-purpose¿¿ samples, providing quality related meta-data, gaining access to standardized medical data and annotations, and mass scanning of whole slides including efficient data management solutions.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 356 pp. Englisch.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Data driven Artificial Intelligence (AI) and Machine Learning (ML) in digital pathology, radiology, and dermatology is very promising. In specific cases, for example, Deep Learning (DL), even exceeding human performance. However, in the context of medicine it is important for a human expert to verify the outcome. Consequently, there is a need for transparency and re-traceability of state-of-the-art solutions to make them usable for ethical responsible medical decision support. Moreover, big data is required for training, covering a wide spectrum of a variety of human diseases in different organ systems. These data sets must meet top-quality and regulatory criteria and must be well annotated for ML at patient-, sample-, and image-level. Here biobanks play a central and future role in providing large collections of high-quality, well-annotated samples and data. The main challenges are finding biobanks containing ''fit-for-purpose'' samples, providing quality related meta-data, gaining access to standardized medical data and annotations, and mass scanning of whole slides including efficient data management solutions.