The impact of processing workflow in performance of automatic white matter lesion segmentation in Multiple Sclerosis
Résumé
The design of a robust automatic segmentation workflow is crucial to deal with the shortcomings of images that impacts on their analysis. In this paper, different workflows, using state-of-the-art tools, are compared in order to evaluate the role of the different preprocessing tasks.We propose some methods in order to improve the computing time, robustness and accuracy of the segmentation method. We compare with manual segmentation as ground truth the workflows and improvements in the segmentation method. Finally, we present a new automatic workflow for white matter lesions segmentation in Multiple Sclerosis.
Domaines
Ingénierie biomédicale
Origine : Fichiers produits par l'(les) auteur(s)
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