[1] Wu Y N. Investigation on infection prevention and control needs of frontline medical staff in fever clinic during epidemic period of COVID-19[J]. Health Education and Health Promotion, 16, 90-92(2021).
[2] Deng R, Chen F, Liu S S et al. Influencing factors for psychological stress of health care workers in COVID-19 isolation wards[J]. Chinese Journal of Infection Control, 19, 256-261(2020).
[3] Leipheimer J M, Balter M L, Chen A I et al. First-in-human evaluation of a hand-held automated venipuncture device for rapid venous blood draws[J]. Technology, 7, 98-107(2019).
[5] Chen X L, Huang M Z, Fu Y C. Recognition method of dorsal hand vein with liveness detection function[J]. Acta Optica Sinica, 41, 0610002(2021).
[6] Du Z M, Hu C Y, Fu T Z et al. Ptychography based on integrated beam steering chip[J]. Chinese Journal of Lasers, 48, 1517004(2021).
[7] Niu Y J, Liu X, Qiao L B. Fast backpropagation algorithm for millimeter-wave holographic imaging[J]. Chinese Journal of Lasers, 47, 0909002(2020).
[8] Kitahara S, Kataoka Y, Miura H et al. The feasibility and limitation of coronary computed tomographic angiography imaging to identify coronary lipid-rich atheroma in vivo: findings from near-infrared spectroscopy analysis[J]. Atherosclerosis, 322, 1-7(2021).
[9] Katsogridakis Y L, Seshadri R, Sullivan C et al. Veinlite transillumination in the pediatric emergency department: a therapeutic interventional trial[J]. Pediatric Emergency Care, 24, 83-88(2008).
[10] Wang J P, Chen M H, Tan W J et al. Dual-modality endoscopic probe for optical coherence tomography imaging and pH sensing[J]. Chinese Journal of Lasers, 47, 0907001(2020).
[11] Ostańska E, Aebisher D, Bartusik-Aebisher D. The potential of photodynamic therapy in current breast cancer treatment methodologies[J]. Biomedicine & Pharmacotherapy, 137, 111302(2021).
[12] Dong J. Design and experiment of the prototype of venous blood drawing robot[D](2019).
[13] Zhang X, Guo Y H, Li G et al. Image automatic recognition and mark of hand vein injection parts[J]. Infrared Technology, 37, 751-755(2015).
[14] Ronneberger O, Fischer P, Brox T. U-net: convolutional networks for biomedical image segmentation[M]. Navab N, Hornegger J, Wells W M, et al. Medical image computing and computer-assisted intervention-MICCAI 2015. Lecture notes in computer science, 9351, 234-241(2015).
[15] Arrastia J L, Heilenkötter N, Baguer D O et al. Deeply supervised UNet for semantic segmentation to assist dermatopathological assessment of basal cell carcinoma[J]. Journal of Imaging, 7, 71(2021).
[16] Soulami K B, Kaabouch N, Saidi M N et al. Breast cancer: one-stage automated detection, segmentation, and classification of digital mammograms using UNet model based-semantic segmentation[J]. Biomedical Signal Processing and Control, 66, 102481(2021).
[17] Kushnure D T, Talbar S N. MS-UNet: a multi-scale UNet with feature recalibration approach for automatic liver and tumor segmentation in CT images[J]. Computerized Medical Imaging and Graphics, 89, 101885(2021).
[18] Thomas E, Pawan S J, Kumar S et al. Multi-res-attention UNet: a CNN model for the segmentation of focal cortical dysplasia lesions from magnetic resonance images[J]. IEEE Journal of Biomedical and Health Informatics, 25, 1724-1734(2021).
[19] Zhang Y, Wu J, Liu Y L et al. MI-UNet: multi-inputs UNet incorporating brain parcellation for stroke lesion segmentation from T1-weighted magnetic resonance images[J]. IEEE Journal of Biomedical and Health Informatics, 25, 526-535(2021).
[20] He C E, Xu H J, Wang Z et al. Automatic segmentation algorithm for multimodal magnetic resonance-based brain tumor images[J]. Acta Optica Sinica, 40, 0610001(2020).
[21] Huang H, Peng C, Wu R Y et al. Self-supervised transfer learning of pulmonary nodule classification based on partially annotated CT images[J]. Acta Optica Sinica, 40, 1810003(2020).
[22] Zhang W X, Zhu Z C, Zhang Y H et al. Cell image segmentation method based on residual block and attention mechanism[J]. Acta Optica Sinica, 40, 1710001(2020).
[23] Wang X L, Girshick R, Gupta A et al. Non-local neural networks[C](2018).
[24] Liu W X, Wang Z Q, Mu G G. Ridge tracing and application in post-processing of thinned fingerprints[J]. Journal of Optoelectronics·Laser, 13, 184-187(2002).
[26] Badrinarayanan V, Kendall A, Cipolla R. SegNet: a deep convolutional encoder-decoder architecture for image segmentation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39, 2481-2495(2017).
[27] Lin G S, Milan A, Shen C H et al. RefineNet: multi-path refinement networks for high-resolution semantic segmentation[C](2017).
[29] Zhao H S, Shi J P, Qi X J et al. Pyramid scene parsing network[C](2017).
[30] Zhou J C, Hao M L, Zhang D H et al. Fusion PSPnet image segmentation based method for multi-focus image fusion[J]. IEEE Photonics Journal, 11, 2950949(2019).
