Publications by authors named "Nengliang Ouyang"
Purpose: To evaluate the efficacy of diagnosis systems based upon instance segmentation with convolutional neural networks (CNNs) for diagnosing acute promyelocytic leukemia (APL) in bone marrow smear images.
Materials And Methods: A self-established dataset was used in this study that was exempted from review by the institution review board, which consisted of 13,504 bone marrow smear images. One subset of the dataset with 12,215 labeled images was split into training (80%) and validation (20%), another with 1289 labeled images was used to test, in which each test entry consists of about 130 images.
Background: The analytical performances of the NT-proBNP and BNP assays on the Cobas E601 and ADVIA Centaur were thoroughly evaluated. In addition, the values of BNP and NT-proBNP, which are heart failure markers, were compared in the diagnosis of HF patients with or without acute cerebral infarction since they could also be elevated in ischemic stroke.
Methods: Clinical and Laboratory Standards Institute (CLSI) documents were employed in the analytical evaluation of NT-proBNP and BNP assays on the Cobas E601 and ADVIA Centaur.
Objective: To find the potential interference factors for the detection of NT-proBNP and BNP in patients with chronic heart failure.
Methods: EP15-A2 issued by Clinical and Laboratory Standards Institute (CLSI) was employed to compare the precision and accuracy of commercial NT-proBNP and BNP analyzer electrochemiluminescence immunoassay system Cobas E601 and chemiluminescence system ADVIA Centaur. Moreover, NT-proBNP and BNP were detected in different time interval and in different interfered sampling conditions (haematolysis, choloplania, lipemia).