Journal Article2023
Medical Personal Protective Equipment detection using YOLOv7
Md Anas Ali, Mahmudul Haque, Saadia Binte Alam, Rashedur Rahman, M Ashraful Amin, Syoji Kobashi
2023 International Conference on Machine Learning and Cybernetics (ICMLC)
IEEE, pp. 242-247
CCDS Authors
References
- 1.Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, C. Lawrence Zitnick. (2014). Microsoft COCO: Common Objects in Context. Lecture notes in computer science, 740–755[10.1007/978-3-319-10602-1_48]
- 2.Chien-Yao Wang, Alexey Bochkovskiy, Hong-Yuan Mark Liao. (2023). YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real-Time Object Detectors. , 7464–7475[10.1109/cvpr52729.2023.00721]
- 3.Jos Verbeek, Blair Rajamaki, Sharea Ijaz, Riitta Sauni, Elaine Toomey, Bronagh Blackwood, Christina Tikka, Jani Ruotsalainen, F Selcen Kilinc Balci. (2020). Personal protective equipment for preventing highly infectious diseases due to exposure to contaminated body fluids in healthcare staff. Cochrane Database of Systematic Reviews, 4, CD011621[10.1002/14651858.cd011621.pub4]
- 4.Nipun D. Nath, Amir H. Behzadan, Stephanie German Paal. (2020). Deep learning for site safety: Real-time detection of personal protective equipment. Automation in Construction, 112, 103085[10.1016/j.autcon.2020.103085]
- 5.Benedetta Allegranzi, Claire Kilpatrick, Julie Storr, Edward Kelley, Benjamin J. Park, Liam Donaldson. (2017). Global infection prevention and control priorities 2018–22: a call for action. The Lancet Global Health, 5(12), e1178–e1180[10.1016/s2214-109x(17)30427-8]
- 6.Philip L. Russo, Andrew J. Stewardson, Allen Cheng, Tracey Bucknall, Brett Mitchell. (2019). The prevalence of healthcare associated infections among adult inpatients at nineteen large Australian acute-care public hospitals: a point prevalence survey. Antimicrobial Resistance and Infection Control, 8(1), 114[10.1186/s13756-019-0570-y]
- 7.Adriana van Buijtene, Dona Foster. (2018). Does a hospital culture influence adherence to infection prevention and control and rates of healthcare associated infection? A literature review. Journal of Infection Prevention, 20(1), 5–17[10.1177/1757177418805833]
- 8.Saurav Kumar, Himanshu Gupta, Drishti Yadav, Irshad Ahmad Ansari, Om Prakash Verma. (2021). YOLOv4 algorithm for the real-time detection of fire and personal protective equipments at construction sites. Multimedia Tools and Applications, 81(16), 22163–22183[10.1007/s11042-021-11280-6]
- 9.Adban Akib Protik, Amzad Hossain Rafi, Shahnewaz Siddique. (2021). Real-time Personal Protective Equipment (PPE) Detection Using YOLOv4 and TensorFlow. 2021 IEEE Region 10 Symposium (TENSYMP), 1–6[10.1109/tensymp52854.2021.9550808]
- 10.Baizheng Wu, Chengxin Pang, Xinhua Zeng, Xing Hu. (2022). ME-YOLO: Improved YOLOv5 for Detecting Medical Personal Protective Equipment. Applied Sciences, 12(23), 11978[10.3390/app122311978]
- 11.Ruth Barratt, Mary Wyer, Su-yin Hor, Gwendolyn L. Gilbert. (2020). Medical interns’ reflections on their training in use of personal protective equipment. BMC Medical Education, 20(1), 328[10.1186/s12909-020-02238-7]
- 12.Ng Wei Bhing, Patrick Sebastian. (2021). Personal Protective Equipment Detection with Live Camera. , 221–226[10.1109/icsipa52582.2021.9576811]
- 13.Thomas Karopka, Gudrun Mernitz, Mads Lause Mogensen, Stefan Reich, Rikard Lövström, Hercules Dalianis, H.A. Leslie, Michael Behnke. (2016). Minimum data set and standards in the context of nosocomial infection surveillance and antimicrobial stewardship.
- 14.Shayan Khosravipour, Erfan Taghvaei, Nasrollah Moghadam Charkari. (2021). COVID-19 personal protective equipment detection using real-time deep learning methods. arXiv (Cornell University)[10.48550/arxiv.2103.14878]
- 15.Rishit Dagli, Ali Mustufa Shaikh. (2021). CPPE-5: Medical Personal Protective Equipment Dataset. arXiv (Cornell University)[10.48550/arxiv.2112.09569]
