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About blood cells
| Cell category | Size | Blood life span | Quantity of cells | Functions |
|---|---|---|---|---|
| RBC | 6–8 | 120 days | Male:—4.5–6.5 × 106 | Conveyance of O2 and CO2 |
| Female 3.9–5.6 × 106 | ||||
| Thrombocytes | 0.5–3.0 | 10 days | 140–1,400 × 103 | Coagulation |
| Phagocytes | ||||
| Neutrophils | 12–15 | 6–10 hr | 1.9–7.6 × 103 (48%–76%) | Protection against microorganisms such as fungi and bacteria |
| Monocytes | 12–20 | 20–40 hr | 0.2–0.8 × 103 (2.5%–8.5%) | Defense against pathogens like fungi and bacteria |
| Acidophils | 12–15 | Days | 0.04–0.44 × 013 (<5%) | Defence from pathogens |
| Lymphocyte | 7–9 (resting) | Weeks or years | 1.5–3.5 × 103 (18%–41%) | B-cells: Assist in antibody production and the activation of T-cells. |
| 12–20 (active) | T-cells: Involved in viral defense and immune response | |||
Compare accuracy and time for each epoch based on three deep learning models
| Model | Model parameters and results | |||
|---|---|---|---|---|
| Number of epochs | Accuracy (%) | Batch size | Time for each epoch (in ms) | |
| VGG16 | 90 | 93.43 | 32 | 78 ms/step |
| DenseNet | 90 | 90.48 | 32 | 89 ms/step |
| InceptionV3 | 90 | 78.80 | 32 | 100 ms/step |
Summary of significant paper for last decade
| Year | Paper ref | Data set | Deep learning models | Accuracy (%) |
|---|---|---|---|---|
| 2016 | [12] | All four classifiers are trained with dataset of 500 instances. | ANN, DT, k-NN, and NB | 96.63 |
| 2023 | [13] | The datasets were collected from10 health facilities across the country | A machine learning approach was used to detect iron-deficiency anemia with the application of NB, CNN, SVM, k-NN, and DT algorithms | 99.12 |
| 2023 | [16] | The suggested technique makes use of time-domain analysis to determine the relationship between blood hemoglobin concentration and palm color variations brought on by applying and releasing pressure. | Dual-mode information fusion with pre-trained CNN models and transformer | 96.29 |
| Processed and analyzed is a smartphone camera sensor that captures the entire event of palm color changes produced by a bespoke gadget. | ||||
| 2023 | [11] | A specially constructed dataset of 2,592 pediatric palpebral images was used in the investigation | UCE, UNet+ +, FCN, PSPNet, and Link Net. | 94.14 |
| 2023 | [15] | After beginning with 527 datasets, the experiment added 2,635 more by utilizing translation, flipping, and rotation. | CNN, k-NN, Naive Bayes’, SVM, and DT were used to build the suggested models for the identification of anemia. | 99.92 |
| 2024 | [14] | The proposed study used a larger size of dataset of 527 conjunctiva images and was then augmented to 2,635 | Machine learning algorithms such as CNN, k-NN, NB, DT, and SVM were utilized for the study to detect anemia | 98.45 |