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Automatic Segmentation MRI Cerebral Glioma

NCT04674579 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 50

Last updated 2020-12-19

No results posted yet for this study

Summary

The aim of this study is to evaluate the role of automatic segmentation of cerebral gliomas in multi-sequence MR images using state-of-the-art methods for automatic segmentation and internal classification of brain tumors in correlation with operative findings

Conditions

  • Cerebral Glioblastoma

Interventions

DEVICE

MRI

magnetic resonance imaging

Sponsors & Collaborators

  • Assiut University

    lead OTHER

Principal Investigators

  • Mostafa Mostafa · Assiut University

  • Hosameldeen Metwalli · Assiut University

  • Noha Attia · Assiut University

  • fatma sedeek · Assiut University

Eligibility

Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2021-01-01
Primary Completion
2023-02-28
Completion
2023-04-30

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04674579 on ClinicalTrials.gov