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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Detalhes bibliográficos
Main Authors: Richard McKinley, Rik Wepfer, Lorenz Grunder, Fabian Aschwanden, Tim Fischer, Christoph Friedli, Raphaela Muri, Christian Rummel, Rajeev Verma, Christian Weisstanner, Benedikt Wiestler, Christoph Berger, Paul Eichinger, Mark Muhlau, Mauricio Reyes, Anke Salmen, Andrew Chan, Roland Wiest, Franca Wagner
Formato: Artigo
Idioma:Inglês
Publicado em: Elsevier 2020-01-01
Colecção:NeuroImage: Clinical
Acesso em linha:http://www.sciencedirect.com/science/article/pii/S2213158219304516
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