Chinese Journal of Liquid Crystals and Displays, Volume. 38, Issue 12, 1698(2023)
Detection and segmentation method of surgical instruments based on improved YOLOv5s
Fig. 4. Dataset sample.（a）Original image；（b）Results after Gamma correction；（c）Segmentation mask.
Fig. 7. Detection and segmentation results of surgical instruments
Table 1. Hardware configuration of GPU
View tableView in ArticleTable 1. Hardware configuration of GPU
名称 配置 处理器 AMD EPYC 7642 Processor GPU型号 RTX 3090 显存容量 24 GB 内核数量 24核
Table 2. Comparison of AP and mAP with different methods
View tableView in ArticleTable 2. Comparison of AP and mAP with different methods
本文方法 YOLOv5s Faster-RCNN SSD RetinaNet Grasper AP 0.963 0.929 0.785 0.906 0.913 Hook AP 0.995 0.995 0.971 0.999 0.999 Clipper AP 0.994 0.975 0.867 0.999 0.972 Scissors AP 0.961 0.947 0.893 0.948 0.948 SpecimenBag AP 0.972 0.953 0.896 0.932 0.971 Bipolar AP 0.995 0.955 0.893 0.957 0.952 Irrigator AP 0.995 0.996 0.771 0.911 0.925 mAP@0.5 0.982 0.964 0.868 0.950 0.954
Table 3. Comparison of mIoU with different methods
View tableView in ArticleTable 3. Comparison of mIoU with different methods
本文方法/% PSPNet/% FCN/% Deeplabv3/% UNet/% mIoU 94.0 93.1 74.1 91.8 92.7 Background 99.3 98.5 94.5 98.4 98.3 Instruments 88.7 87.7 53.6 85.2 87.0
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Xiao-liang MENG, Ji-kang ZHAO, Xiao-yu WANG, Li-ye ZHANG, Zheng SONG. Detection and segmentation method of surgical instruments based on improved YOLOv5s[J]. Chinese Journal of Liquid Crystals and Displays, 2023, 38(12): 1698
Category: Research Articles
Received: Jan. 31, 2023
Accepted: --
Published Online: Mar. 7, 2024
The Author Email: Li-ye ZHANG (zhangliye@sdut.edu.cn)
