"MedCFEdit"
收藏DataCite Commons2026-04-27 更新2026-05-03 收录
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https://ieee-dataport.org/documents/medcfedit
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资源简介:
"Data Description OverviewTo get access to the BraTS 2018 data, you can follow the instructions given at the \"Data Request\" page.The datasets used in this year's challenge have been updated, since BraTS'16, with more routine clinically-acquired 3T multimodal MRI scans and all the ground truth labels have been manually-revised by expert board-certified neuroradiologists.Ample multi-institutional routine clinically-acquired pre-operative multimodal MRI scans of glioblastoma (GBM\/HGG) and lower grade glioma (LGG), with pathologically confirmed diagnosis and available OS, will be provided as the training, validation and testing data for this year\u2019s BraTS challenge.Validation data will be released on July 1, through an email pointing to the accompanying leaderboard. This, will allow participants to obtain preliminary results in unseen data and also report it in their submitted papers, in addition to their cross-validated results on the training data. The ground truth of the validation data will not be provided to the participants, but multiple submissions to the online evaluation platform (CBICA's IPP) will be allowed.Finally, all participants will be presented with the same test data, which will be made available through email during 30 July-20 August and for a limited controlled time-window (48h), before the participants are required to upload their final results in CBICA's IPP. The top-ranked participating teams will be invited before the end of August to prepare slides for a short oral presentation of their method during the BraTS challenge.Imaging Data DescriptionAll BraTS multimodal scans are available as NIfTI files (.nii.gz) and describe a) native (T1) and b) post-contrast T1-weighted (T1Gd), c) T2-weighted (T2), and d) T2 Fluid Attenuated Inversion Recovery (FLAIR) volumes, and were acquired with different clinical protocols and various scanners from multiple (n=19) institutions, mentioned as data contributors here.All the imaging datasets have been segmented manually, by one to four raters, following the same annotation protocol, and their annotations were approved by experienced neuro-radiologists. Annotations comprise the GD-enhancing tumor (ET \u2014 label 4), the peritumoral edema (ED \u2014 label 2), and the necrotic and non-enhancing tumor core (NCR\/NET \u2014 label 1), as described in the BraTS reference paper, published in IEEE Transactions for Medical Imaging (also see Fig.1). The provided data are distributed after their pre-processing, i.e. co-registered to the same anatomical template, interpolated to the same resolution (1 mm^3) and skull-stripped."
提供机构:
IEEE DataPort
创建时间:
2026-04-27



