Published March 2022 | Version v1
Journal article Metadata-only

Alzheimer's disease. Diagnostic algorithm based on T1-weighted MRI images

Creators

Description

Mild cognitive impairment (MCI) is considered a transitional stage to early stages of Alzheimer's disease. In these stages of the disease, a reliable method for diagnosis is important. The South Korean research group developed a diagnostic algorithm for automatic brain segmentation and classification of 3 D T1-weighted MRI images based on Deep Learning (DL).

Availability note (English)

Available from: http://dx.doi.org/10.1055/a-1727-1739

Abstract (German)

Leichte kognitive Störungen (MCI – Mild Cognitive Impairment) gelten als Übergangsstadium zu frühen Stadien der Alzheimer-Krankheit. In diesen Krankheits-Stadien ist eine zuverlässige Methode zur Diagnosestellung wichtig. Die südkoreanische Arbeitsgruppe entwickelte einen Diagnosealgorithmus zur automatischen Hirn-Segmentierung und Klassifikation von 3 D T1-gewichteten MRT-Bildern auf der Basis von Deep Learning (DL).

Additional details

Additional titles

Original title (German)
Alzheimer-Krankheit. Diagnosealgorithmus auf der Basis T1-gewichteter MRT-Bilder

Identifiers

DOI
10.1055/a-1727-1739;

Publishing Information

Journal Title
Radiologie up2date
Journal Volume
22
Journal Issue
1
Journal Page Range
p. 7
ISSN
1616-0681

INIS

Country of Publication
Germany
Country of Input or Organization
Germany
INIS RN
53054781
Subject category
S62: RADIOLOGY AND NUCLEAR MEDICINE;
Descriptors DEI
BRAIN; CLASSIFICATION; DIAGNOSIS; IMAGE PROCESSING; MACHINE LEARNING; MENTAL DISORDERS; NERVOUS SYSTEM DISEASES; NMR IMAGING; RELAXATION TIME; THREE-DIMENSIONAL CALCULATIONS; WEIGHTING FUNCTIONS
Descriptors DEC
ALGORITHMS; ARTIFICIAL INTELLIGENCE; BODY; CENTRAL NERVOUS SYSTEM; DIAGNOSTIC TECHNIQUES; DISEASES; FUNCTIONS; LEARNING; MATHEMATICAL LOGIC; NERVOUS SYSTEM; ORGANS; PROCESSING