AIMC Topic: Leukocytes

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An Integrated Microfluidic Microwave Array Sensor with Machine Learning for Enrichment and Detection of Mixed Biological Solution.

Biosensors Jan 13, 2025
In this work, an integrated microfluidic microwave array sensor is proposed for the enrichment and detection of mixed biological solution. In individuals with urinary tract infections or intestinal health issues, the levels of white blood cells (WBCs...
Lab-On-A-Chip Devices Microfluidics Microwaves Humans Machine Learning Biosensing Techniques Escherichia coli Leukocytes
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Diagnosis and typing of leukemia using a single peripheral blood cell through deep learning.

Cancer science Nov 18, 2024
Leukemia is highly heterogeneous, meaning that different types of leukemia require different treatments and have different prognoses. Current clinical diagnostic and typing tests are complex and time-consuming. In particular, all of these tests rely ...
Humans Deep Learning Leukemia Leukemia, Promyelocytic, Acute Single-Cell Analysis Leukocytes
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Comparing Human-Level and Machine Learning Model Performance in White Blood Cell Morphology Assessment.

European journal of haematology Oct 6, 2024
INTRODUCTION: There is an increasing research focus on the role of machine learning in the haematology laboratory, particularly in blood cell morphologic assessment. Human-level performance is an important baseline and goal for machine learning. This...
Humans Machine Learning Image Processing, Computer-Assisted Leukocytes Reproducibility of Results Observer Variation
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Association of retinal image-based, deep learning cardiac BioAge with telomere length and cardiovascular biomarkers.

Optometry and vision science : official publication of the American Academy of Optometry Jun 28, 2024
SIGNIFICANCE: Our retinal image-based deep learning (DL) cardiac biological age (BioAge) model could facilitate fast, accurate, noninvasive screening for cardiovascular disease (CVD) in novel community settings and thus improve outcome with those wit...
Deep Learning Leukocytes Cardiovascular Diseases Middle Aged Telomere Retina United Kingdom Female Aged Male Aging Cross-Sectional Studies Humans Biomarkers
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Classification of white blood cells (leucocytes) from blood smear imagery using machine and deep learning models: A global scoping review.

PloS one Jun 17, 2024
Machine learning (ML) and deep learning (DL) models are being increasingly employed for medical imagery analyses, with both approaches used to enhance the accuracy of classification/prediction in the diagnoses of various cancers, tumors and bloodborn...
Deep Learning Humans Leukocytes Image Processing, Computer-Assisted Machine Learning
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Automatic classification and segmentation of blast cells using deep transfer learning and active contours.

International journal of laboratory hematology May 10, 2024
INTRODUCTION: Acute lymphoblastic leukemia (ALL) presents a formidable challenge in hematological malignancies, necessitating swift and precise diagnostic techniques for effective intervention. The conventional manual microscopy of blood smears, alth...
Leukocytes Precursor Cell Lymphoblastic Leukemia-Lymphoma Humans Deep Learning Image Processing, Computer-Assisted Neural Networks, Computer
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Deep learning-based image annotation for leukocyte segmentation and classification of blood cell morphology.

BMC medical imaging Apr 8, 2024
The research focuses on the segmentation and classification of leukocytes, a crucial task in medical image analysis for diagnosing various diseases. The leukocyte dataset comprises four classes of images such as monocytes, lymphocytes, eosinophils, a...
Blood Cells Data Curation Image Processing, Computer-Assisted Leukocytes Neural Networks, Computer Deep Learning Humans
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Comprehensive data analysis of white blood cells with classification and segmentation by using deep learning approaches.

Cytometry. Part A : the journal of the International Society for Analytical Cytology Apr 2, 2024
Deep learning approaches have frequently been used in the classification and segmentation of human peripheral blood cells. The common feature of previous studies was that they used more than one dataset, but used them separately. No study has been fo...
Neural Networks, Computer Data Analysis Humans Cytoplasm Leukocytes Deep Learning Cell Nucleus Image Processing, Computer-Assisted
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AML leukocyte classification method for small samples based on ACGAN.

Biomedizinische Technik. Biomedical engineering Mar 29, 2024
Leukemia is a class of hematologic malignancies, of which acute myeloid leukemia (AML) is the most common. Screening and diagnosis of AML are performed by microscopic examination or chemical testing of images of the patient's peripheral blood smear. ...
Humans Deep Learning Neural Networks, Computer Leukocytes Leukemia, Myeloid, Acute
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Segmentation, feature extraction and classification of leukocytes leveraging neural networks, a comparative study.

Cytometry. Part A : the journal of the International Society for Analytical Cytology Feb 29, 2024
The gold standard of leukocyte differentiation is a manual examination of blood smears, which is not only time and labor intensive but also susceptible to human error. As to automatic classification, there is still no comparative study of cell segmen...
Leukocytes Machine Learning Humans Deep Learning Neural Networks, Computer Algorithms Image Processing, Computer-Assisted
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