Automatic detection of lesion load change in Multiple Sclerosis using convolutional neural networks with segmentation confidence

The detection of new or enlarged white-matter lesions is a vital task in the monitoring of patients undergoing disease-modifying treatment for multiple sclerosis. However, the definition of ‘new or enlarged’ is not fixed, and it is known that lesion-counting is highly subjective, with high degree of...

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Detalles Bibliográficos
Autores principales: McKinley, Richard, Wepfer, Rik, Grunder, Lorenz, Aschwanden, Fabian, Fischer, Tim, Friedli, Christoph, Muri, Raphaela, Rummel, Christian, Verma, Rajeev, Weisstanner, Christian, Wiestler, Benedikt, Berger, Christoph, Eichinger, Paul, Muhlau, Mark, Reyes, Mauricio, Salmen, Anke, Chan, Andrew, Wiest, Roland, Wagner, Franca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Regular Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6953959/
https://www.ncbi.nlm.nih.gov/pubmed/31927500
http://dx.doi.org/10.1016/j.nicl.2019.102104

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6953959/
https://www.ncbi.nlm.nih.gov/pubmed/31927500
http://dx.doi.org/10.1016/j.nicl.2019.102104

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