Automatic counting of retinal ganglion cells in the entire mouse retina based on improved YOLOv5-Reference-Cited by-同舟云学术

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Automatic counting of retinal ganglion cells in the entire mouse retina based on improved YOLOv5

Published:2022 Issue:5 Volume:43 Page:738-749
ISSN:2095-8137
Container-title:Zoological Research
language:en
Short-container-title:

Author:

Zhang Jing, , ,Huo Yi-Bo,Yang Jia-Liang,Wang Xiang-Zhou,Yan Bo-Yun,Du Xiao-Hui,Hao Ru-Qian,Yang Fang,Liu Juan-Xiu,Liu Lin,Liu Yong,Zhang Hou-Bin, ,

Publisher

Zoological Research

Subject

Animal Science and Zoology,Ecology, Evolution, Behavior and Systematics,Ecology

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimizing retinal ganglion cell nuclear staining for automated cell counting;Experimental Eye Research;2024-05

2. ASSD-YOLO: a small object detection method based on improved YOLOv7 for airport surface surveillance;Multimedia Tools and Applications;2023-11-18

3. Improved UAV-to-Ground Multi-Target Tracking Algorithm Based on StrongSORT;Sensors;2023-11-17

4. Improving Blood Cell Detection Accuracy using an Attention-based YOLOv5 Network;Proceedings of the 4th International Conference on Artificial Intelligence and Computer Engineering;2023-11-17

5. From beasts to bytes: Revolutionizing zoological research with artificial intelligence;Zoological Research;2023

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