Evaluating severity of white matter lesions from computed tomography images with convolutional neural network

PURPOSE: Severity of white matter lesion (WML) is typically evaluated on magnetic resonance images (MRI), yet the more accessible, faster, and less expensive method is computed tomography (CT). Our objective was to study whether WML can be automatically segmented from CT images using a convolutional...

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Detalles Bibliográficos
Autores principales: Pitkänen, Johanna, Koikkalainen, Juha, Nieminen, Tuomas, Marinkovic, Ivan, Curtze, Sami, Sibolt, Gerli, Jokinen, Hanna, Rueckert, Daniel, Barkhof, Frederik, Schmidt, Reinhold, Pantoni, Leonardo, Scheltens, Philip, Wahlund, Lars-Olof, Korvenoja, Antti, Lötjönen, Jyrki, Erkinjuntti, Timo, Melkas, Susanna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Diagnostic Neuroradiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7478948/
https://www.ncbi.nlm.nih.gov/pubmed/32281028
http://dx.doi.org/10.1007/s00234-020-02410-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7478948/
https://www.ncbi.nlm.nih.gov/pubmed/32281028
http://dx.doi.org/10.1007/s00234-020-02410-2

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