[1] Gómez M M Y, Escalante H J, Segura A et al. Advances in artificial intelligence: IBERAMIA2016[M](2016).
[2] Lousberg L, Collignon J, Detry O. Appendiceal neuroendrocrine neoplasms: incidentaloma or something we should worry about?[J]. Current Opinion in Gastroenterology, 36, 48-54(2020).
[3] Hsu C, Rashid A, Xing Y et al. Varying malignant potential of appendiceal neuroendocrine tumors: importance of histologic subtype[J]. Journal of Surgical Oncology, 107, 136-143(2013).
[4] Yao J C, Hassan M, Phan A et al. One hundred years after “carcinoid”: epidemiology of and prognostic factors for neuroendocrine tumors in 35, 825 cases in the United States[J]. Journal of Clinical Oncology, 26, 3063-3072(2008).
[5] Limaiem F, Bouhajja L, Sassi A et al. Neuroendocrine tumors of the appendix: a retrospective study of 19 cases[J]. American Journal of Case Reports, 5, 7-10(2017).
[6] Moris D, Tsilimigras D I, Vagios S et al. Neuroendocrine neoplasms of the appendix: a review of the literature[J]. Anticancer Research, 38, 601-611(2018).
[7] Sutton R, Doran H E, Williams E I et al. Surgery for midgut carcinoid[J]. Endocrine-Related Cancer, 10, 469-481(2003).
[8] Alexandraki K I, Kaltsas G A, Grozinsky-Glasberg S et al. Appendiceal neuroendocrine neoplasms: diagnosis and management[J]. Endocrine-Related Cancer, 23, R27-R41(2016).
[9] da Silva Abreu R P N. Appendiceal neuroendocrine tumors: approach and treatment[J]. Journal of Coloproctology, 38, 337-342(2018).
[10] Mao W L, Lü Y, Pu N et al. Prognostic analysis and clinicopathological features of 20 patients with appendiceal neuroendocrine neoplasms[J]. Chinese Journal of Gastrointestinal Surgery, 21, 564-568(2018).
[11] Robertson S, Acs B, Lippert M et al. Prognostic potential of automated Ki67 evaluation in breast cancer: different hot spot definitions versus true global score[J]. Breast Cancer Research and Treatment, 183, 161-175(2020).
[12] Koopman T, Buikema H J, Hollema H et al. Digital image analysis of Ki67 proliferation index in breast cancer using virtual dual staining on whole tissue sections: clinical validation and inter-platform agreement[J]. Breast Cancer Research and Treatment, 169, 33-42(2018).
[13] Li T T, Feng D W, Li Q et al. Quantitative detection method of fluorescence immunochromatography based on microscopic digital image[J]. Chinese Journal of Lasers, 47, 1107001(2020).
[14] Nakamura A, Mizuta T, Shimotsuma Y et al. Picosecond burst pulse machining with temporal energy modulation [Invited][J]. Chinese Optics Letters, 18, 123801(2020).
[16] Li Q L, Chen K, Huang W C et al. Minimally invasive photothermal ablation assisted by laparoscopy as an effective preoperative neoadjuvant treatment for orthotopic hepatocellular carcinoma[J]. Cancer Letters, 496, 169-178(2021).
[17] Tang L H. Epithelial neoplasms of the appendix[J]. Archives of Pathology & Laboratory Medicine, 134, 1612-1620(2010).
[18] Virgone C, Cecchetto G, Alaggio R et al. Appendiceal neuroendocrine tumors in childhood[J]. Journal of Pediatric Gastroenterology & Nutrition, 58, 333-338(2014).
[19] Shao Q, Xu C C, Zhou Y et al. Cast shadow detection based on the YCbCr color space and topological cuts[J]. The Journal of Supercomputing, 76, 3308-3326(2020).
[20] Alwan Z A, Farhan H M, Mahdi S Q. Color image steganography in YCbCr space[J]. International Journal of Electrical and Computer Engineering (IJECE), 10, 202-209(2020).
[21] Liu K, Li X J. De-hazing and enhancement methods for underwater and low-light images[J]. Acta Optica Sinica, 40, 1910003(2020).
[22] Cai Y F, Chen T Y, Wang J et al. Image noise reduction in computed tomography with non-local means algorithm based on adaptive filtering coefficients[J]. Acta Optica Sinica, 40, 0710001(2020).
[23] Zhang J P, Yu F Q. Improved image measurement edge detection based on Canny operator[J]. Laser & Optoelectronics Progress, 57, 241024(2020).
[24] Phornphatcharaphong W, Eua-Anant N. Edge-based color image segmentation using particle motion in a vector image field derived from local color distance images[J]. Journal of Imaging, 6, 72(2020).
[25] Das B K, Dutta H S. GFNB: Gini index-based Fuzzy Naive Bayes and blast cell segmentation for leukemia detection using multi-cell blood smear images[J]. Medical & Biological Engineering & Computing, 58, 2789-2803(2020).
[26] Gush T, Bukhari S B A, Haider R et al. Fault detection and location in a microgrid using mathematical morphology and recursive least square methods[J]. International Journal of Electrical Power & Energy Systems, 102, 324-331(2018).
[27] Zhao X D, Zhang Y M, Dai X F et al. Mathematical morphological binary image parallel processing using the approach of optical frequency filtering by a complex valued kernel[J]. Acta Optica Sinica, 16, 77-81(1996).
[28] Gamarra M, Zurek E, Escalante H J et al. Split and merge watershed: a two-step method for cell segmentation in fluorescence microscopy images[J]. Biomedical Signal Processing and Control, 53, 101575(2019).
[29] Zhao J W, Wang P, Liu C Q. Watershed image segmentation based on wavelet transform[J]. Acta Photonica Sinica, 32, 601-604(2003).
[30] Liu X N, Wang Y T, Zhao C et al. Research on image segmentation method of Lingwu long jujubes based on watershed[J]. Computer Engineering and Applications, 54, 169-175, 184(2018).
[31] Öfverstedt J, Lindblad J, Sladoje N. Stochastic distance transform: theory, algorithms and applications[J]. Journal of Mathematical Imaging and Vision, 62, 751-769(2020).
[32] Coeurjolly D, Montanvert A. Optimal separable algorithms to compute the reverse Euclidean distance transformation and discrete medial axis in arbitrary dimension[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 29, 437-448(2007).
