Übersicht			Auf mobile öffnen

Lieferstatus:	i.d.R. innert 7-14 Tagen versandfertig
Veröffentlichung:	März 2023
Genre:	Naturwissensch., Medizin, Technik
ISBN:	9787484585858
EAN-Code:	9787484585858
Verlag:	ARY Publisher
Einband:	Kartoniert
Sprache:	English
Dimensionen:	H 229 mm / B 152 mm / D 8 mm
Gewicht:	189 gr
Seiten:	122
Zus. Info:	Paperback
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

Cardiovascular disorder severity analysis in magnetic resonance images (MRI) involves using machine learning techniques to analyze MRI images and assess the severity of cardiovascular disorders. This approach utilizes deep learning algorithms, such as convolutional neural networks (CNN), for image analysis, segmentation, and feature extraction. The severity analysis involves quantifying the extent and location of damaged tissues, narrowing of blood vessels, and other pathological changes related to cardiovascular disorders. This analysis can aid in the diagnosis, prognosis, and treatment planning of patients with cardiovascular disorders. This method has several advantages, including the ability to detect subtle changes in MRI images that may be missed by human observers, the potential to provide more accurate and objective measures of disease severity, and the ability to integrate data from electronic health records and other sources. Overall, this approach has the potential to improve medical decision-making and provide more personalized care for patients with cardiovascular disorders, thus helping to reduce the burden of these conditions on individuals and society.