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Average values for normal adult <t>white</t> <t>blood</t> <t>cell</t> count.
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Tri-classification results of images from <t> WBCs </t> dataset.
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Average values for normal adult white blood cell count.

Journal: Scientific Reports

Article Title: White blood cells classification using multi-fold pre-processing and optimized CNN model

doi: 10.1038/s41598-024-52880-0

Figure Lengend Snippet: Average values for normal adult white blood cell count.

Article Snippet: The researchers applied the proposed method to the WBC images dataset from Kaggle and accomplished an impressive accuracy score of 98.55%.

Techniques: Cell Counting

Summary of the related work.

Journal: Scientific Reports

Article Title: White blood cells classification using multi-fold pre-processing and optimized CNN model

doi: 10.1038/s41598-024-52880-0

Figure Lengend Snippet: Summary of the related work.

Article Snippet: The researchers applied the proposed method to the WBC images dataset from Kaggle and accomplished an impressive accuracy score of 98.55%.

Techniques:

Summary of literature review.

Journal: Healthcare

Article Title: White Blood Cell Classification Using Texture and RGB Features of Oversampled Microscopic Images

doi: 10.3390/healthcare10112230

Figure Lengend Snippet: Summary of literature review.

Article Snippet: [ ] , 2022 , CNN model , WBC types classification, Model achieved 98.55% accuracy score. , WBC Kaggle dataset [ ]. .

Techniques:

Tri-classification results of images from WBCs dataset.

Journal: PLoS ONE

Article Title: WBC-AMNet: Automatic classification of WBC images using deep feature fusion network based on focalized attention mechanism

doi: 10.1371/journal.pone.0261848

Figure Lengend Snippet: Tri-classification results of images from WBCs dataset.

Article Snippet: Another public WBC images dataset (WBCs dataset) from the Kaggle repository incorporates 4358 raw WBC images segmented in single cells, which eliminates the interference of complex background.

Techniques:

Quad-classification results of images from WBCs dataset.

Journal: PLoS ONE

Article Title: WBC-AMNet: Automatic classification of WBC images using deep feature fusion network based on focalized attention mechanism

doi: 10.1371/journal.pone.0261848

Figure Lengend Snippet: Quad-classification results of images from WBCs dataset.

Article Snippet: Another public WBC images dataset (WBCs dataset) from the Kaggle repository incorporates 4358 raw WBC images segmented in single cells, which eliminates the interference of complex background.

Techniques: