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

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Total Enrollment

900 participants

Study Classification

OBSERVATIONAL

Study Start Date

2020-08-28

Study Completion Date

2023-12-31

Brief Summary

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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.

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Detailed Description

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Conditions

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Hematologic Diseases Artificial Intelligence Acute Leukemia

Study Design

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Observational Model Type

CASE_ONLY

Study Time Perspective

PROSPECTIVE

Interventions

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there are not any interventions in this study

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* Patients who have suspected or confirmed hematological diseases and receive bone
* marrow or peripheral blood cell morphological examination in National Taiwan University Cancer Center
* Patients who are aged more than 20 y/o