Online longitudinal MS lesion segmentation using FLAIR only images (FIFO Queue)
This pipeline uses the preprocessing steps from the boundary shift integral pipeline to detect new lesions, which are refined by a gradient boosting classifier. This version has been optimised for working with 3D FLAIR MR images. The baseline lesion segmentation needs to be provided and it can be computed using this tool.
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The queue is empty and LONGMSLESION is ready to process your files! Total files processed so far: 76/76
Publications on this work:
We would appreciate it if the following references would be included in any published work that uses this resource:
Ferran Prados and Baris Kanber. Detecting new multiple sclerosis lesions using a mixed approach. MSSEG-2 challenge proceedings: Multiple sclerosis new lesions segmentation challenge using a data management and processing infrastructure. MICCAI 2021.
Ferran Prados, M. Jorge Cardoso, Ninon Burgos, Claudia AM Wheeler-Kingshott, Sebastien Ourselin. NiftyWeb: web based platform for image processing on the cloud. International Society for Magnetic Resonance in Medicine (ISMRM) 24th Scientific Meeting and Exhibition - Singapore 2016
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