Title | ||
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Multiple sclerosis lesions segmentation from multiple experts: The MICCAI 2016 challenge dataset |
Abstract | ||
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MRI plays a crucial role in multiple sclerosis diagnostic and patient follow-up. In particular, the delineation of T2-FLAIR hyperintense lesions is crucial although mostly performed manually - a tedious task. Many methods have thus been proposed to automate this task. However, sufficiently large datasets with a thorough expert manual segmentation are still lacking to evaluate these methods. We present a unique dataset for MS lesions segmentation evaluation. It consists of 53 patients acquired on 4 different scanners with a harmonized protocol. Hyperintense lesions on FLAIR were manually delineated on each patient by 7 experts with control on T2 sequence, and gathered in a consensus segmentation for evaluation. We provide raw and preprocessed data and a split of the dataset into training and testing data, the latter including data from a scanner not present in the training dataset. We strongly believe that this dataset will become a reference in MS lesions segmentation evaluation, allowing to evaluate many aspects: evaluation of performance on unseen scanner, comparison to individual experts performance, comparison to other challengers who already used this dataset, etc. |
Year | DOI | Venue |
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2021 | 10.1016/j.neuroimage.2021.118589 | NeuroImage |
DocType | Volume | ISSN |
Journal | 244 | 1053-8119 |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
15 |
Name | Order | Citations | PageRank |
---|---|---|---|
Olivier Commowick | 1 | 505 | 39.81 |
Michaël Kain | 2 | 0 | 0.34 |
Romain Casey | 3 | 0 | 0.34 |
Roxana Ameli | 4 | 0 | 0.34 |
Jean-Christophe Ferré | 5 | 18 | 6.07 |
Anne Kerbrat | 6 | 6 | 0.97 |
Thomas Tourdias | 7 | 16 | 2.81 |
Cervenansky Frédéric | 8 | 100 | 7.12 |
Sorina Camarasu-Pop | 9 | 99 | 11.44 |
tristan glatard | 10 | 554 | 43.66 |
Sandra Vukusic | 11 | 0 | 0.34 |
Gilles Edan | 12 | 13 | 2.55 |
Christian Barillot | 13 | 1290 | 133.50 |
Michel Dojat | 14 | 570 | 41.47 |
Frano Is Cotton | 15 | 0 | 0.34 |