Semiconductor Optoelectronics, Volume. 44, Issue 5, 709(2023)
Intelligent Detection of Cells in Fluorescence Images Based on Improved YOLOv5
[7] [7] Markiewicz T, Cichowicz M, Kozowski W. Alternative colour space construction of the stain reaction in FISH image analysis for quantification of the HER2 gene amplification\[J\]. Przeglad Elektrotechniczny, 2012, 88(3A): 10-12.
[8] [8] Shirley J W, Ty S, Takebayashi S, et al. FISH Finder: A high-throughput tool for analyzing FISH images\[J\]. Bioinformatics, 2011, 27(7): 933-938.
[12] [12] Zhang N, Donahue J, Girshick R, et al. Part-based R-CNNs for fine-grained category detection\[C\]// Computer Vision-ECCV 2014: the 13th European Conf., Zurich, Switzerland, September 6-12, 2014, Proc., Part Ⅰ 13. Springer International Publishing, 2014: 834-849.
[13] [13] Girshick R. Fast R-CNN\[C\]// Proc. of the IEEE Inter. Conf. on Computer Vision, 2015: 1440-1448.
[14] [14] Ren S, He K, Girshick R, et al. Faster R-CNN: Towards real-time object detection with region proposal networks\[J\]. IEEE Trans. on Pattern Analysis and Machine Intelligence, 2017, 39(6): 1137-1149.
[17] [17] Redmon J, Divvala S, Girshick R, et al. You only look once: Unified, real-time object detection\[C\]// Proc. of the IEEE Conf. on Computer Vision and Pattern Recognition, 2016: 779-788.
Get Citation
Copy Citation Text
TAN Xinping, GAO Zhihui, HAN Hangdi, LIAO Guanglan, LIU Zhiyong. Intelligent Detection of Cells in Fluorescence Images Based on Improved YOLOv5[J]. Semiconductor Optoelectronics, 2023, 44(5): 709
Category:
Received: May. 28, 2023
Accepted: --
Published Online: Nov. 20, 2023
The Author Email: LIU Zhiyong (zhiyong_liu@hust.edu.cn)