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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
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 |
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