[1] Kwon R S. Song L M W K, Adler D G, et al. Endocytoscopy[J]. Gastrointestinal Endoscopy, 70, 610-613(2009).

[2] Goetz M, Malek N P, Kiesslich R. Microscopic imaging in endoscopy: endomicroscopy and endocytoscopy[J]. Nature Reviews Gastroenterology & Hepatology, 11, 11-18(2014).

[3] Abad M R A, Shimamura Y, Fujiyoshi Y et al. Endocytoscopy: technology and clinical application in upper gastrointestinal tract[J]. Translational Gastroenterology and Hepatology, 5, 28(2020).

[4] Chen Y L, Li Y, Yin Y F et al. Application of endocytoscopy in early cancer of upper gastrointestinal tract[J]. Chinese Journal of Digestive Endoscopy, 35, 773-776(2018).

[5] Zhuang X D, Bai Y. Progress in endoscopic diagnosis of superficial esophageal squamous cell carcinoma[J]. Chinese Journal of Digestive Endoscopy, 36, 299-304(2019).

[6] Kumagai Y, Monma K, Kawada K. Magnifying chromoendoscopy of the esophagus: in-vivo pathological diagnosis using an endocytoscopy system[J]. Endoscopy, 36, 590-594(2004).

[7] Kumagai Y, Kawada K, Yamazaki S et al. Endocytoscopic observation for esophageal squamous cell carcinoma: can biopsy histology be omitted?[J]. Diseases of the Esophagus, 22, 505-512(2009).

[8] Neumann H, Fuchs F S, Vieth M et al. Review article: in vivo imaging by endocytoscopy[J]. Alimentary Pharmacology & Therapeutics, 33, 1183-1193(2011).

[9] Kumagai Y, Kawada K, Yamazaki S et al. Current status and limitations of the newly developed endocytoscope GIF-Y0002 with reference to its diagnostic performance for common esophageal lesions[J]. Journal of Digestive Diseases, 13, 393-400(2012).

[10] Kumagai Y, Takubo K, Kawada K et al. A newly developed continuous zoom-focus endocytoscope[J]. Endoscopy, 49, 176-180(2017).

[11] Kumagai Y, Takubo K, Kawada K et al. Endocytoscopic observation of various types of esophagitis[J]. Esophagus, 13, 200-207(2016).

[12] Ono S, Nozaki A, Matsuda K et al. In vivo optical cellular diagnosis for uterine cervical or vaginal intraepithelial neoplasia using flexible gastrointestinal endocytoscopy-a prospective pilot study[J]. BMC Cancer, 20, 955(2020).

[13] Kumagai Y, Takubo K, Kawada K et al. Diagnosis using deep-learning artificial intelligence based on the endocytoscopic observation of the esophagus[J]. Esophagus, 16, 180-187(2019).

[14] Minami H, Inoue H, Yokoyama A et al. Recent advancement of observing living cells in the esophagus using CM double staining: endocytoscopic atypia classification[J]. Diseases of the Esophagus, 25, 235-241(2012).

[15] Caicedo J C, Goodman A, Karhohs K W et al. Publisher correction: nucleus segmentation across imaging experiments: the 2018 data science bowl[J]. Nature Methods, 17, 241(2020).

[16] Moshkov N, Mathe B, Kertesz-Farkas A et al. Test-time augmentation for deep learning-based cell segmentation on microscopy images[J]. Scientific Reports, 10, 5068(2020).

[17] Zou Y C, Chau F S, Zhou G Y. Ultra-compact optical zoom endoscope using solid tunable lenses[J]. Optics Express, 25, 20675-20688(2017).

[18] 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).

[19] Golkov V, Dosovitskiy A, Sperl J I et al. q-space deep learning: twelve-fold shorter and model-free diffusion MRI scans[J]. IEEE Transactions on Medical Imaging, 35, 1344-1351(2016).

[20] Ronneberger O, Fischer P, Brox T. U-Net: convolutional networks for biomedical image segmentation[M]. ∥Navab N, Hornegger J, Wells W, et al. Image computing and computer-assisted intervention-MICCAI 2015. Lecture notes in computer science. Cham: Springer, 9351, 234-241(2015).

[21] Xue W X, Liu J X, Liu R et al. An improved method for retinal vascular segmentation in U-Net[J]. Acta Optica Sinica, 40, 1210001(2020).

[22] Chu J H, Li X C, Zhang J Q et al. Fine-granted segmentation method for three-dimensional brain tumors using cascaded convolutional network[J]. Laser & Optoelectronics Progress, 56, 101001(2019).

[23] 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).

[24] Kingma DP, BaJ. Adam: a method for stochastic optimization[C]∥Proceedings of the 3rd International Conference on Learning Representations, May 7-9, 2015, San Diego, CA, USA. New York: IEEE Press, 2015: 1- 15.