Ignite Creation Date:
2024-05-06 @ 3:12 PM
Last Modification Date:
2024-10-26 @ 1:44 PM
Study NCT ID:
NCT04551235
Status:
UNKNOWN
Last Update Posted:
2022-03-10
First Post:
2020-08-27
Brief Title:
Establishing Automatic Method of Counting and Classify Bone Marrow and Peripheral Blood Cells
Sponsor:
National Taiwan University Hospital
Organization:
National Taiwan University Hospital
Study Overview
Official Title:
Establishing Automatic Method of Counting and Classify Bone Marrow and Peripheral Blood Cells
Status:
UNKNOWN
Status Verified Date:
2022-03
Last Known Status:
RECRUITING
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief 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
Detailed Description:
None
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None