Table 8 in An optimised YOLOv 4 deep learning model for efficient malarial cell detection in thin blood smear images

Name: Table 8 in An optimised YOLOv 4 deep learning model for efficient malarial cell detection in thin blood smear images
Creator: Zenodo
Published: 2025-07-24T22:16:50+08:00

Zenodo2025-07-24 更新2026-05-26 收录

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https://zenodo.org/doi/10.5281/zenodo.16415634 数据链接链接失效反馈

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资源简介：

Table 8 Detection of infected RBC on Dataset B using the original YOLOv4 and modified models ModificationsModelPrecision (%)Recall rate (%)F1-score (%)mAP (%)Inference time (ms)B-FLOPSSize (MB)OriginalYOLOv461867281.43905.6559.57244.40Residual Block pruningYOLOv4-RC350956688.91695.5447.59242.40YOLOv4-RC450916585.20695.9851.21233.20YOLOv4-RC561937389.84731.4357.61222.10YOLOv4-RC3_459967490.70684.9337.35221.50YOLOv4-RC3_559937288.09690.5345.64220.40Backbone replacementYOLOv4- ResNet-50L54836576.95892.8037.33209.30YOLOv4-ResNet-50 M65817278.96905.3937.33209.30 B-FLOPS Billion floating-point operations, F1-SCoRE balance between precision and recall, mAP mean average precision

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Zenodo

创建时间：

2025-07-24

Table 8 in An optimised YOLOv 4 deep learning model for efficient malarial cell detection in thin blood smear images

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