AIMC Topic: Leukocytes

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An Intelligent Decision Support System for Leukaemia Diagnosis using Microscopic Blood Images.

Scientific reports Oct 9, 2015
This research proposes an intelligent decision support system for acute lymphoblastic leukaemia diagnosis from microscopic blood images. A novel clustering algorithm with stimulating discriminant measures (SDM) of both within- and between-cluster sca...
Support Vector Machine Cluster Analysis Diagnosis, Computer-Assisted Staining and Labeling Leukemia Humans Algorithms Reproducibility of Results Sensitivity and Specificity Databases, Factual Discriminant Analysis Microscopy Leukocytes Cell Nucleus Cytoplasm
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Image segmentation and classification of white blood cells with the extreme learning machine and the fast relevance vector machine.

Artificial cells, nanomedicine, and biotechnology Feb 24, 2015
White blood cells (WBCs) or leukocytes are an important part of the body's defense against infectious organisms and foreign substances. WBC segmentation is a challenging issue because of the morphological diversity of WBCs and the complex and uncerta...
Support Vector Machine Humans Image Processing, Computer-Assisted Leukocytes
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Augmentation of Infrared Microscopy of White Blood Cells and Medical Measures for Rapid and Accurate Diagnosis of Bacterial or Viral Infections in Febrile Pediatric Oncology Patients: An Expert System-Based Study.

Analytical chemistry Jul 1, 2025
Infectious diseases, a major contributor to high mortality rates, often exhibit similar symptoms, despite variations in immune responses to bacterial or viral infections. Rapidly differentiating bacterial infections from viral infections in febrile p...
Bacterial Infections C-Reactive Protein Leukocytes Child, Preschool Child Humans Machine Learning Leukocyte Count Virus Diseases Female Spectrophotometry, Infrared Neoplasms Fever Infant Microscopy Male
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Deep learning based semantic segmentation of leukemia effected white blood cell.

PloS one Jan 1, 2025
Medical image segmentation has numerous applications in diagnosing different diseases. Various types of diseases are found in white blood and Red blood cells. This paper represents the segmentation of WBCs from blood smear images. It is a complex and...
Algorithms Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer Leukemia Leukocytes Semantics
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Improving Interpretability of Leucocyte Classification with Multimodal Network.

Studies in health technology and informatics Aug 22, 2024
White blood cell classification plays a key role in the diagnosis of hematologic diseases. Models can perform classification either from images or based on morphological features. Image-based classification generally yields higher performance, but fe...
Humans Neural Networks, Computer Leukocytes
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Automatic recognition of white blood cell images with memory efficient superpixel metric GNN: SMGNN.

Mathematical biosciences and engineering : MBE Jan 10, 2024
An automatic recognizing system of white blood cells can assist hematologists in the diagnosis of many diseases, where accuracy and efficiency are paramount for computer-based systems. In this paper, we presented a new image processing system to reco...
Leukocytes Cytoplasm Algorithms Image Processing, Computer-Assisted Neural Networks, Computer
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Detection of live breast cancer cells in bright-field microscopy images containing white blood cells by image analysis and deep learning.

Journal of biomedical optics Jul 1, 2022
SIGNIFICANCE: Circulating tumor cells (CTCs) are important biomarkers for cancer management. Isolated CTCs from blood are stained to detect and enumerate CTCs. However, the staining process is laborious and moreover makes CTCs unsuitable for drug tes...
Leukocytes Microscopy Breast Neoplasms Deep Learning Neural Networks, Computer Female Humans
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The Effect of Data Augmentation in Deep Learning Approach for Peripheral Blood Leukocyte Recognition.

Studies in health technology and informatics Jun 6, 2022
Data augmentation is reported as a useful technique to generate a large amount of image datasets from a small image dataset. The aim of this study is to clarify the effect of data augmentation for leukocyte recognition with deep learning. We performe...
Humans Leukocytes Deep Learning
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Increasing a microscope's effective field of view via overlapped imaging and machine learning.

Optics express Jan 17, 2022
This work demonstrates a multi-lens microscopic imaging system that overlaps multiple independent fields of view on a single sensor for high-efficiency automated specimen analysis. Automatic detection, classification and counting of various morpholog...
Humans Machine Learning Image Processing, Computer-Assisted Neural Networks, Computer Hemeproteins Erythrocytes Leukocyte Count Parasite Load Plasmodium falciparum Leukocytes
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Classification of white blood cells using weighted optimized deformable convolutional neural networks.

Artificial cells, nanomedicine, and biotechnology Dec 1, 2021
BACKGROUND: Machine learning (ML) algorithms have been widely used in the classification of white blood cells (WBCs). However, the performance of ML algorithms still needs to be addressed for being short of gold standard data sets, and even the imple...
Leukocytes Neural Networks, Computer Algorithms Humans
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