Published April 16, 2024
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Table 7 in An optimised YOLOv 4 deep learning model for efficient malarial cell detection in thin blood smear images
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- 1. 1,6
- 2. 1,6 & 1,6
- 3. * & *
Description
Table 7 Detection of infected red blood cells on Dataset A using the original YOLOv4 and modified models
| Modifications | Model | Precision (%) | Recall rate (%) | F1-score (%) | mAP (%) | Training time (h) | Inference time (per image) (ms) | B-FLOPS | Size (MB) |
|---|---|---|---|---|---|---|---|---|---|
| Original | YOLOv4 | 84 | 95 | 89 | 93.87 | 48 | 726.66 | 59.57 | 244.40 |
| Residual block pruning | YOLOv4-RC3 | 84 | 92 | 88 | 91.65 | 35 | 678.53 | 47.59 | 242.40 |
| YOLOv4-RC4 | 83 | 92 | 87 | 92.84 | 37 | 703.82 | 51.21 | 233.20 | |
| YOLOv4-RC5 | 85 | 89 | 87 | 92.47 | 37 | 704.48 | 57.61 | 222.10 | |
| YOLOv4-RC3_4 | 83 | 89 | 86 | 88.09 | 32 | 676.18 | 37.35 | 221.50 | |
| YOLOv4-RC3_5 | 77 | 77 | 77 | 76.56 | 32.5 | 680.01 | 45.64 | 220.4 | |
| Backbone replacement | YOLOv4- ResNet-50L | 70 | 84 | 76 | 79.70 | 28 | 719.50 | 37.33 | 209.30 |
| YOLOv4- ResNet-50 M | 74 | 86 | 80 | 81.43 | 28 | 884.82 | 37.33 | 209.30 |
B-FLOPS Billion floating point operations, F1-SCoRE balance between precision and recall, mAP mean average precision
Notes
Published as part of Sukumarran, Dhevisha, Hasikin, Khairunnisa, Khairuddin, Anis Salwa Mohd, Ngui, Romano, Sulaiman, Wan Yusoff Wan, Vythilingam, Indra & Divis, Paul Cliff Simon, 2024, An optimised YOLOv 4 deep learning model for efficient malarial cell detection in thin blood smear images, pp. 14 in Parasites & Vectors (188) 17 (1) on page 14, DOI: 10.1186/s13071-024-06215-7, http://zenodo.org/record/11074830
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- Is part of
- Journal article: 10.1186/s13071-024-06215-7 (DOI)
- Journal article: urn:lsid:plazi.org:pub:FC27FFD1B33A4E4E3958FFCDD415FFF0 (LSID)
- Journal article: http://zenodo.org/record/11074830 (URL)
- Journal article: http://publication.plazi.org/id/FC27FFD1B33A4E4E3958FFCDD415FFF0 (URL)