MAFIA-CT: MAchine Learning Tool for Image Quality Assessment in Computed Tomography

Autor:	Gerd Lutters, Jörg Binder, Egbert Nitzsche, Ismail Özden, Silvan Melchior, Thiago V. M. Lima
Rok vydání:	2021
Předmět:	Low contrast Observer (quantum physics) medicine.diagnostic_test Image quality business.industry Computer science Deep learning ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION medicine Computer vision Computed tomography Artificial intelligence business
Zdroj:	Medical Image Understanding and Analysis ISBN: 9783030804312 MIUA
DOI:	10.1007/978-3-030-80432-9_35
Popis:	Different metrics are available for evaluating image quality (IQ) in computed tomography (CT). One of those is human observer studies, unfortunately they are time consuming and susceptible to variability. With these in mind, we developed a platform, based on deep learning, to optimise the work-flow and score IQ based human observations of low contrast lesions.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::38e41e6a3132968d5ae255e9674f46c7 https://doi.org/10.1007/978-3-030-80432-9_35 Zobrazit plný text záznamu