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Establishing Automatic Method of Counting and Classify Bone Marrow and Peripheral Blood Cells

NCT04551235 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 900

Last updated 2022-03-10

No results posted yet for this study

Summary

Counting and classification of blood cells in a bone marrow smear and peripheral blood smear are essential to clinical hematology. To this date, this procedure has been carried out in a manual manner in the great majority of clinical settings. There is often inconsistency in the counting result between different operators largely due to its manual nature. There has not been an effective and standard method for blood smear preparation and automatic counting and classification. The recent advent of deep neural network for medical image processing introduced new opportunities for an effective solution of this long-standing problem. Numerous results have been published on the effectiveness of convolutional neural network in clinical image recognition task.

Conditions

Interventions

OTHER

there are not any interventions in this study

there are not any interventions in this study

Sponsors & Collaborators

  • National Taiwan University Tai-Chen Cell Therapy Center, Biomdcare Corporation

    collaborator UNKNOWN

  • National Taiwan University Hospital

    lead OTHER

Eligibility

Min Age
20 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2020-08-28
Primary Completion
2023-12-31
Completion
2023-12-31

Countries

  • Taiwan

Study Locations

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Entities

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 NCT04551235 on ClinicalTrials.gov