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Multiclass blood cancer classification using deep CNN with optimized features
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1 of the 37 references listed on this page is in the Retraction Watch database as retracted (export 2026-11-11): 10.1155/2022/1467070 (notice 2023-08-02).
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/jemt.23030openalex-snapshotRouleaux red blood cells splitting in microscopic thin blood smear images via local maxima, circles drawing, and mapping with original RBCs
inferredcites →https://doi.org/10.11591/eei.v9i2.1857openalex-snapshotInvestigation of white blood cell biomaker model for acute lymphoblastic leukemia detection based on convolutional neural network
inferredcites →https://doi.org/10.3390/electronics10060699openalex-snapshotA Hybrid Supervised Machine Learning Classifier System for Breast Cancer Prognosis Using Feature Selection and Data Imbalance Handling Approaches
inferredcites →https://doi.org/10.3390/s22041629openalex-snapshotMulti-Method Diagnosis of Blood Microscopic Sample for Early Detection of Acute Lymphoblastic Leukemia Based on Deep Learning and Hybrid Techniques
What points at this work
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inferred← citeshttps://doi.org/10.2139/ssrn.4860911openalex-extractedLearning Architecture for Brain Tumor Classification Based on Deep Convolutional Neural Network: Classic and Resnet50
inferred← citeshttps://doi.org/10.2139/ssrn.4890315openalex-extractedLearning Architecture for Brain Tumor Classification Based on Deep Convolutional Neural Network: Classic and Resnet50
inferred← citeshttps://doi.org/10.1007/s10278-024-01315-3openalex-snapshotA Performance Comparison of Different YOLOv7 Networks for High-Accuracy Cell Classification in Bronchoalveolar Lavage Fluid Utilising the Adam Optimiser and Label Smoothing
inferred← citeshttps://doi.org/10.1007/s41870-024-02126-zopenalex-snapshotVisTA: vision transformer-attention enhanced CNN ensemble for optimized classification of acute lymphoblastic leukemia benign and progressive malignant stages
inferred← citeshttps://doi.org/10.1063/5.0234340openalex-snapshotOptimised convolutional neural network model for multiclass acute lymphoblastic leukemia classification in in peripheral blood smear images
inferred← citeshttps://doi.org/10.3390/s24134420openalex-snapshotUtilizing Deep Feature Fusion for Automatic Leukemia Classification: An Internet of Medical Things-Enabled Deep Learning Framework
inferred← citeshttps://doi.org/10.4236/jcc.2026.143014openalex-snapshotA Hybrid Deep and Machine Learning Framework with Feature Selection for Automated Classification of Acute Lymphoblastic Leukemia
inferred← citeshttps://doi.org/10.48084/etasr.13252openalex-snapshotDeep Learning for Lung Cancer Staging: A Performance Evaluation of Gamma Correction vs Histogram Equalization Using EfficientNetB0
inferred← citeshttps://doi.org/10.5772/intechopen.1010334openalex-snapshotA Comparison of Convolutional Neural Networks, Image Feature Extraction, and Clinical Features Applied to Leukemia Blood Smear Image Classification
inferred← citeshttps://doi.org/10.7717/peerj-cs.2600openalex-snapshotALL-Net: integrating CNN and explainable-AI for enhanced diagnosis and interpretation of acute lymphoblastic leukemia
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