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Human peripheral blood leukocyte classification method based on convolutional neural network and data augmentation

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Computerized detection of leukocytes in microscopic leukorrhea images

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Temporal stability assessment in shear wave elasticity images validated by deep learning neural network for chronic liver disease fibrosis stage assessment

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Large-Scale Machine Learning with Stochastic Gradient Descent

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A novel white blood cell segmentation scheme based on feature space clustering

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Revisiting squared-error and cross-entropy functions for training neural network classifiers

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Development of a Robust Algorithm for Detection of Nuclei and Classification of White Blood Cells in Peripheral Blood Smear Images

inferredcites →https://doi.org/10.1007/s11517-016-1590-xopenalex-snapshot

Automatic detection and classification of leukocytes using convolutional neural networks

inferredcites →https://doi.org/10.1007/s12575-009-9011-2openalex-snapshot

A Framework for White Blood Cell Segmentation in Microscopic Blood Images Using Digital Image Processing

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Learning Internal Representations by Error Propagation

inferredcites →https://doi.org/10.1016/j.bspc.2016.11.021openalex-snapshot

Gray level co-occurrence matrix and random forest based acute lymphoblastic leukemia detection

inferredcites →https://doi.org/10.1016/j.cmpb.2016.07.002openalex-snapshot

A new thresholding technique based on fuzzy set as an application to leukocyte nucleus segmentation

inferredcites →https://doi.org/10.1016/j.compbiomed.2013.03.003openalex-snapshot

Segmentation of microarray images using pixel classification—Comparison with clustering-based methods

inferredcites →https://doi.org/10.1016/j.jss.2012.04.012openalex-snapshot

A computer assisted method for leukocyte nucleus segmentation and recognition in blood smear images

inferredcites →https://doi.org/10.1016/j.measurement.2017.11.002openalex-snapshot

White blood cell (WBC) counting analysis in blood smear images using various color segmentation methods

inferredcites →https://doi.org/10.1016/j.optlastec.2013.05.022openalex-snapshot

A combined spatial-spectral method for automated white blood cells segmentation

inferredcites →https://doi.org/10.1016/j.procs.2015.10.113openalex-snapshot

Computer Aided Diagnostic System for Detection of Leukemia Using Microscopic Images

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Gradient-based learning applied to document recognition

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Segmentation of dendritic cells from microscopic images using mathematical morphology

inferredcites →https://doi.org/10.1109/cvpr.2009.5206848openalex-snapshot

ImageNet: A large-scale hierarchical image database

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Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks

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Rethinking the Inception Architecture for Computer Vision

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Deep Residual Learning for Image Recognition

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Applying Faster R-CNN for Object Detection on Malaria Images

inferredcites →https://doi.org/10.1109/iccv.2015.123openalex-snapshot

Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification

inferredcites →https://doi.org/10.1109/isbi.2004.1398489openalex-snapshot

Toward leukocyte recognition using morphometry, texture and color

inferredcites →https://doi.org/10.1109/iwdrl.2018.8358214openalex-snapshot

Automated detection of white blood cells cancer diseases

inferredcites →https://doi.org/10.1109/jbhi.2016.2623421openalex-snapshot

Segmentation of White Blood Cells Image Using Adaptive Location and Iteration

inferredcites →https://doi.org/10.1109/tencon.2016.7848161openalex-snapshot

Automatic classification of leukocytes using morphological features and Naïve Bayes classifier

inferredcites →https://doi.org/10.11113/jt.v74.4651openalex-snapshot

Directional Wave Spectra from Video Images Data and SWAN Model

inferredcites →https://doi.org/10.11113/jt.v74.4675openalex-snapshot

Segmentation of White Blood Cell Nucleus Using Active Contour

inferredcites →https://doi.org/10.1142/s1793545814500072openalex-snapshot

A METHOD OF LEUKOCYTE SEGMENTATION BASED ON S COMPONENT AND B COMPONENT IMAGES

inferredcites →https://doi.org/10.1145/1015330.1015435openalex-snapshot

Feature selection, L 1 vs. L 2 regularization, and rotational invariance

inferredcites →https://doi.org/10.1145/2623330.2623612openalex-snapshot

Efficient mini-batch training for stochastic optimization

inferredcites →https://doi.org/10.1145/3065386openalex-snapshot

ImageNet classification with deep convolutional neural networks

inferredcites →https://doi.org/10.1155/2003/642562openalex-snapshot

Automated Detection of Working Area of Peripheral Blood Smears Using Mathematical Morphology

inferredcites →https://doi.org/10.1177/1748301818770839openalex-snapshot

A robust leukocyte recognition method based on multi-scale regional growth and mean-shift clustering

inferredcites →https://doi.org/10.1309/xmb9-k0j4-1lhl-atayopenalex-snapshot

Performance Evaluation of the CellaVision DM96 System

inferredcites →https://doi.org/10.14738/jbemi.33.2078openalex-snapshot

A Comparative Study of White Blood cells Segmentation using Otsu Threshold and Watershed Transformation

inferredcites →https://doi.org/10.2991/icismme-15.2015.231openalex-snapshot

Automatic leukocytes classification by distance transform, moment invariant, morphological features, gray level co-occurrence matrices and SVM

inferredcites →https://doi.org/10.3233/thc-161133openalex-snapshot

Efficient leukocyte segmentation and recognition in peripheral blood image

inferredcites →https://doi.org/10.3390/s140916128openalex-snapshot

White Blood Cell Segmentation by Color-Space-Based K-Means Clustering

inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-snapshot

Very Deep Convolutional Networks for Large-Scale Image Recognition

inferredcites →https://doi.org/10.48550/arxiv.1612.02295openalex-snapshot

Large-Margin Softmax Loss for Convolutional Neural Networks

inferredcites →https://doi.org/10.48550/arxiv.1704.04861openalex-snapshot

MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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A hybrid approach for efficient multi‐classification of white blood cells based on transfer learning techniques and traditional machine learning methods

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Classification of peripheral blood neutrophils using deep learning

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Dead detector element detection in flat panels using convolutional neural networks

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A computer-assisted human peripheral blood leukocyte image classification method based on Siamese network

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OIAE: Overall Improved Autoencoder with Powerful Image Reconstruction and Discriminative Feature Extraction

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Automatic classification of circulating blood cell clusters based on multi-channel flow cytometry imaging

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Leukocytes Image Classification Using Optimized Convolutional Neural Networks

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Single-shot phase-shifting composition fringe projection profilometry by multi-attention fringe restoration network

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Rapid detection of white blood cells using hyperspectral microscopic imaging system combined with Multi-data Faster RCNN

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A deep learning model for detection of leukocytes under various interference factors

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Comparison of three artificial intelligence algorithms for automatic cobb angle measurement using teaching data specific to three disease groups

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Deep learning for few-shot white blood cell image classification and feature learning

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Using Convolutional Neural Networks to Identify COVID-19 Infection from Lymphocyte Morphology in Digital Optical Micrographs

inferred← citeshttps://doi.org/10.1109/iciccs51141.2021.9432309openalex-snapshot

Astute Segmentation and Classification of leucocytes in blood microscopic smear images using titivated K-means clustering and robust SVM techniques

inferred← citeshttps://doi.org/10.1109/jiot.2025.3603577openalex-snapshot

TFViT: Triplet Focal Vision Transformer Driven by Internet of Medical Things for Leukocyte Classification in Acute Myeloid Leukemia

inferred← citeshttps://doi.org/10.1109/tim.2025.3547497openalex-snapshot

Dynamic 3-D Shape Measurement Using Bidirectional Spatial Sequence Gray-Code Light

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A Self-Adaptive data balancing network for leukocyte detection based on CenterNet

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Expression of NMU and NMUR1 in tryptase-positive mast cells and PBLs in allergic rhinitis patients’ nasal mucosa

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AML leukocyte classification method for small samples based on ACGAN

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The Effectiveness of Data Augmentation for Mature White Blood Cell Image Classification in Deep Learning — Selection of an Optimal Technique for Hematological Morphology Recognition —

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Field-Portable Leukocyte Classification Device Based on Lens-Free Shadow Imaging Technique

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Automatic Classification of White Blood Cells Using Pre-Trained Deep Models

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