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Research of Pathological Imaging Diagnosis of Ocular Tumors Based on New Artificial Intelligence Algorithm

NCT04695015 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 100

Last updated 2021-01-05

No results posted yet for this study

Summary

The purpose of this study is to establish a standardized process for obtaining digital pathological image information of ocular tumors; use modern pathological techniques to obtain the co-expression information of multiple biomarkers in the pathological tissues of ocular tumors, and finally construct standardized digital ocular tumors with biomarkers Pathology image database.

Conditions

  • Melanoma (Skin)
  • Melanoma in Situ
  • Nevus Eye
  • Sebaceous Gland Carcinoma of the Eyelid
  • Basal Cell Carcinoma
  • Squamous Cell Carcinoma in Situ
  • Ocular Tumor

Sponsors & Collaborators

  • Peking University

    lead OTHER

Principal Investigators

  • Chun Zhang, MD/PHD · Peking University Third Hospital

Eligibility

Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2020-12-31
Primary Completion
2022-06-01
Completion
2022-06-01

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Diseases

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 NCT04695015 on ClinicalTrials.gov