AIMC Topic: Erythroblasts

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Comparative analysis of feature-based ML and CNN for binucleated erythroblast quantification in myelodysplastic syndrome patients using imaging flow cytometry data.

Scientific reports Apr 23, 2024
Myelodysplastic syndrome is primarily characterized by dysplasia in the bone marrow (BM), presenting a challenge in consistent morphology interpretation. Accurate diagnosis through traditional slide-based analysis is difficult, necessitating a standa...
Humans Neural Networks, Computer Machine Learning Algorithms Female Male Flow Cytometry Myelodysplastic Syndromes Erythroblasts
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Fast label-free recognition of NRBCs by deep-learning visual object detection and single-cell Raman spectroscopy.

The Analyst May 3, 2022
Nucleated red blood cells (NRBCs) as a type of rare cell present in an adult's peripheral blood is a concern in hematology, intensive care medicine and prenatal diagnostics. However, it is labor-intensive to screen such rare cells from real complex c...
Humans Algorithms Pregnancy Female Deep Learning Spectrum Analysis, Raman Prenatal Diagnosis Erythroblasts
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Exploring dyserythropoiesis in patients with myelodysplastic syndrome by imaging flow cytometry and machine-learning assisted morphometrics.

Cytometry. Part B, Clinical cytometry Dec 7, 2020
BACKGROUND: The hallmark of myelodysplastic syndrome (MDS) remains dysplasia in the bone marrow (BM). However, diagnosing MDS may be challenging and subject to inter-observer variability. Thus, there is an unmet need for novel objective, standardized...
Humans Machine Learning Female Aged Aged, 80 and over Adult Male Middle Aged Flow Cytometry Myelodysplastic Syndromes Erythroblasts Erythropoiesis
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