Automated nailfold capillary density measurement method based on improved YOLOv5

Author:

Yin Hao,Wu Zhiwei,Huang An,Luo Jiaxiong,Liang Junzhao,Lin Jianan,Ye Qianyao,Xie Mugui,Ye Cong,Li Xiaosong,Wu Yanxiong

Publisher

Elsevier BV

Subject

Cell Biology,Cardiology and Cardiovascular Medicine,Biochemistry

Reference22 articles.

1. Pothole detection using deep learning: a real-time and AI-on-the-edge perspective;Asad;Adv. Civ. Eng.,2022

2. Lightweight tea bud recognition network integrating GhostNet and YOLOv5;Cao;Math. Biosci. Eng.,2022

3. Nailfold capillaroscopy: tips and challenges;El Miedany;Clin. Rheumatol.,2022

4. Capillary density: an important parameter in nailfold capillaroscopy;Emrani;Microvasc. Res.,2017

5. IEEE International Conference on Computer Vision (ICCV), 2015;Girshick,2015

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