ArticleComputational intelligence and neuroscience2020
Improved Classification of White Blood Cells with the Generative Adversarial Network and Deep Convolutional Neural Network.
Article in Computational intelligence and neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Systematic review of generative adversarial networks (GANs) in cell microscopy: Trends, practices, and impact on image augmentation.PloS one · 2025Pooled it
- Aligning deep learning and interpretable models for blood cell classification: A dual-model framework for explainability.PLOS digital health · 2026Article
- White blood cell classification using custom deep neural network and visualizing features of the images using heatmaps.Scientific reports · 2026Article
- Enhancing classification of rare white blood cells in FPM with a physics-inspired GAN.Scientific reports · 2025Article
- A two stage blood cell detection and classification algorithm based on improved YOLOv7 and EfficientNetv2.Scientific reports · 2025Article
- Improving the generalizability of white blood cell classification with few-shot domain adaptation.Journal of pathology informatics · 2024Article
- pH-Dependent migratory behaviors of neutrophil-like cells in a microfluidic device with controllability of dissolved gas concentrations.Scientific reports · 2024Article
- An attention-based deep learning for acute lymphoblastic leukemia classification.Scientific reports · 2024Article
- An efficient decision support system for leukemia identification utilizing nature-inspired deep feature optimization.Frontiers in oncology · 2024Article
- An assessment of compositional methods for the analysis of DNA methylation-based deconvolution estimates.Epigenomics · 2024Article
- Blood Slide Image Analysis to Classify WBC Types for Prediction Haematology Based on a Hybrid Model of CNN and Handcrafted Features.Diagnostics (Basel, Switzerland) · 2023Article
- Leukocytes Classification for Leukemia Detection Using Quantum Inspired Deep Feature Selection.Cancers · 2023Article
- White Blood Cells Classification Using Entropy-Controlled Deep Features Optimization.Diagnostics (Basel, Switzerland) · 2023Article
- Classification of Atypical White Blood Cells in Acute Myeloid Leukemia Using a Two-Stage Hybrid Model Based on Deep Convolutional Autoencoder and Deep Convolutional Neural Network.Diagnostics (Basel, Switzerland) · 2023Article
- Using deep DenseNet with cyclical learning rate to classify leukocytes for leukemia identification.Frontiers in oncology · 2023Article
- BCNet: A Deep Learning Computer-Aided Diagnosis Framework for Human Peripheral Blood Cell Identification.Diagnostics (Basel, Switzerland) · 2022Article
- Accurate classification of white blood cells by coupling pre-trained ResNet and DenseNet with SCAM mechanism.BMC bioinformatics · 2022Article
- Virtual Staining, Segmentation, and Classification of Blood Smears for Label-Free Hematology Analysis.BME frontiers · 2022Article
- Difference between the blood samples of patients with bone and joint tuberculosis and patients with tuberculosis studied using machine learning.Frontiers in surgery · 2022Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
White blood cells (leukocytes) are a very important component of the blood that forms the immune system, which is responsible for fighting foreign elements. The five types of white blood cells include
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Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.