Prognostic value of preoperatively obtained clinical and laboratory data in predicting survival following orthotopic liver transplantation [PDF]
, 1986 Twenty‐seven clinical and laboratory data and the subsequent clinical course of 93 consecutive adult patients who underwent orthotopic liver transplantation for various chronic advanced liver diseases were analyzed retrospectively to assess the risk ...
Child +13 more
core +1 more source
Evaluation of the Microscanner C3 for Automated Cell Counting in Cerebrospinal Fluid Analysis
DiagnosticsBackground: Cerebrospinal fluid (CSF) analysis is essential for diagnosing various disorders affecting the central nervous system (CNS). Traditionally, CSF cell count analysis is performed manually using a Neubauer chamber hemocytometer, which is labor ...
Insu Park +6 more
doaj +1 more source
A New Method for Calculating Counts in Cells [PDF]
Astrophys.J. 497 (1998) 16, 1997 In the near future a new generation of CCD based galaxy surveys will enable high precision determination of the N-point correlation functions. The resulting information will help to resolve the ambiguities associated with two-point correlation functions thus constraining theories of structure formation, biasing, and Gaussianity of initial conditions ...
arxiv +1 more source
Mortality by baseline CD4 cell count among HIV patients initiating antiretroviral therapy: evidence from a large cohort in Uganda [PDF]
, 2011 Evaluations of CD4 cell count and other prognostic factors on the survival of HIV patients in sub-Saharan Africa are extremely limited. Funders have been reticent to recommend earlier initiation of treatment.
Allison +17 more
core +1 more source
Viral Load Monitoring of Antiretroviral Therapy, cohort viral load and HIV transmission in Southern Africa: A Mathematical Modelling Analysis [PDF]
, 2012 In low-income settings, treatment failure is often identified using CD4 cell count monitoring. Consequently, patients remain on a failing regimen, resulting in a higher risk of transmission.
Attia +30 more
core +2 more sources
Classification Beats Regression: Counting of Cells from Greyscale Microscopic Images based on Annotation-free Training Samples [PDF]
The CAAI International Conference on Artificial Intelligence
(CICAI 2021), 2020 Modern methods often formulate the counting of cells from microscopic images as a regression problem and more or less rely on expensive, manually annotated training images (e.g., dot annotations indicating the centroids of cells or segmentation masks identifying the contours of cells).
arxiv
PLoS ONE, 2022 BackgroundCD4+ cell count recovery after effective antiretroviral therapy (ART) is an important determinant of both AIDS and non-AIDS morbidity and mortality.
Temesgen Fiseha +3 more
doaj +1 more source
Frontiers in Immunology, 2019 Background: Dimethyl fumarate (DMF) is a disease-modifying drug for relapsing-remitting multiple sclerosis. Among others, DMF impedes immune activation by shifting the balance between inflammatory and regulatory cell types and by inducing apoptosis ...
Damiano Marastoni +11 more
doaj +1 more source
Automatic microscopic cell counting by use of unsupervised adversarial domain adaptation and supervised density regression [PDF]
, 2019 Accurate cell counting in microscopic images is important for medical diagnoses and biological studies. However, manual cell counting is very time-consuming, tedious, and prone to subjective errors. We propose a new density regression-based method for automatic cell counting that reduces the need to manually annotate experimental images.
arxiv +1 more source
A Deep Learning Bidirectional Temporal Tracking Algorithm for Automated Blood Cell Counting from Non-invasive Capillaroscopy Videos [PDF]
arXiv, 2020 Oblique back-illumination capillaroscopy has recently been introduced as a method for high-quality, non-invasive blood cell imaging in human capillaries. To make this technique practical for clinical blood cell counting, solutions for automatic processing of acquired videos are needed.
arxiv