Team Shirin NF Hackathon 2020 MRI

syn23363685

Created By Lars Ericson lars.ericson

doi: https://www.doi.org/10.7303/syn23363685
event: Hack for NF 2020
summary: This describes our deep learning approach to MRI segmentation
dataType: imaging
onSynapse: syn23363685
initiative: 2020 NF Hackathon
studyLeads: 3395107 3393350
studyStatus: Completed
diseaseFocus: Neurofibromatosis type 1
institutions: WRQ Research Catskills Research Company
fundingAgency: CTF
manifestation: Plexiform Neurofibroma
tab1wikipointer: syn23363685/wiki/607091
acknowledgementStatements: If you use data/concepts from this study in a publication or talk, please acknowledge the authors�for their work.�In addition, please acknowledge the Children's Tumor Foundation and NF Data Portal using the following statement: "The results published here are in whole or in part based on data/concepts made available through the NF Open Science Initiative and CTF Hack for NF 2020."
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