Machine-learning classifiers models for MELD lesion detection

DOI

Machine-learning models trained on the MELD cohort to detect focal cortical dysplasia. These models can be used to test the MELD detectection pipelineMore details can be found in the paper:Spitzer, Hannah, Mathilde Ripart, Kirstie Whitaker, Antonio Napolitano, Luca De Palma, Alessandro De Benedictis, Stephen Foldes, et al. 2021. “Interpretable Surface-Based Detection of Focal Cortical Dysplasias: A MELD Study.” https://doi.org/10.1101/2021.12.13.21267721.

Identifier
DOI https://doi.org/10.5522/04/17099144.v1
Related Identifier HasPart https://ndownloader.figshare.com/files/31618988
Metadata Access https://api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:figshare.com:article/17099144
Provenance
Creator Spitzer, Hannah ORCID logo; Ripart, Mathilde; Adler, Sophie; Wagstyl, Konrad; Consortium, MELD
Publisher University College London UCL
Contributor Figshare
Publication Year 2021
Rights https://creativecommons.org/publicdomain/zero/1.0/
OpenAccess true
Contact researchdatarepository(at)ucl.ac.uk
Representation
Language English
Resource Type Software
Discipline Life Sciences; Medicine; Neurosciences; Psychology; Social and Behavioural Sciences