Big Data in multiscale modelling: from medical image processing to personalized models

The healthcare industry is different from other industries–patient data are sensitive, their storage needs to be handled with care and in compliance with regulative, while prediction accuracy needs to be high. This fast expansion in medical image modalities and data collection leads to generation of...

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Veröffentlicht in:	Journal of big data Jg. 10; H. 1; S. 72 - 22
Hauptverfasser:	Geroski, Tijana, Jakovljević, Djordje, Filipović, Nenad
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 01.12.2023 Springer Nature B.V SpringerOpen
Schlagworte:	3D reconstruction Artificial neural networks Big Data Carotid arteries Communications Engineering Computational Science and Engineering Computer Science Customization Data analysis Data collection Data Mining and Knowledge Discovery Data processing Database Management Drug testing Drugs Geometry Health care Health care industry Health services Image processing Image reconstruction Incentives Information Storage and Retrieval Literature reviews Mathematical Applications in Computer Science Mathematical models Medical image processing Medical imaging Multiscale modelling Networks Neural networks R&D Research & development Storage Tests Three dimensional models Ultrasonic imaging Workflow Medical image processing Big Data 3D reconstruction Multiscale modelling
ISSN:	2196-1115, 2196-1115
Online-Zugang:	Volltext
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