Improved nested U-structure for accurate nailfold capillary segmentation

Author:

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

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference29 articles.

1. Recurrent residual U-Net for medical image segmentation;Alom;J. Med. Imaging (Bellingham),2019

2. Nail-fold capillaroscopy in the study of microcirculation in elderly hypertensive patients;Bonacci;Arch. Gerontol. Geriatr.,1996

3. Chen, J., Lu, Y., Yu, Q., Luo, X., Adeli, E., Wang, Y.,…Zhou, Y., 2021. Transunet: transformers make strong encoders for medical image segmentation. arXiv Preprint ArXiv:2102.04306.

4. Nailfold capillary segmentation based on U-net and attention mechanism;Chen,2023

5. State of the art on nailfold capillaroscopy: a reliable diagnostic tool and putative biomarker in rheumatology?;Cutolo;Rheumatology (Oxford),2013

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