[1] Chhikara B S, Parang K. Global cancer statistics 2022: the trends projection analysis[J]. Chemical Biology Letters, 10, 451-451(2023).

[2] Mu G, Zhang Z H, Shi Y J. Photoacoustic imaging technology in biomedical imaging[J]. Chinese Journal of Lasers, 49, 2007208(2022).

[3] Li H D, Zhang H X, Song X M et al. Three-dimensional light-sheet microscopy imaging system with liquid zoom lens and galvanometer mirror[J]. Acta Optica Sinica, 43, 0211001(2023).

[4] Jiang F R, Zhao J W, Liu X et al. Advances in computer-aided diagnosis based on pathological images[J]. Chinese Journal of Medical Physics, 39, 384-389(2022).

[5] Zhang Y N, Xia K R, Li C Y et al. Review of breast cancer pathologigcal image processing[J]. BioMed Research International, 2021, 1994764(2021).

[6] Saha M, Chakraborty C. Her2Net: a deep framework for semantic segmentation and classification of cell membranes and nuclei in breast cancer evaluation[J]. IEEE Transactions on Image Processing, 27, 2189-2200(2018).

[7] Xiong X C, Wu H W, Ren F et al. An automatic quantitative analysis method of Ki-67 index for breast cancer immunohistochemistry based on fusion of spatial and multi-scale features[J]. Medical Journal of Peking Union Medical College Hospital, 13, 581-589(2022).

[8] Saha M, Chakraborty C, Arun I et al. An advanced deep learning approach for Ki-67 stained hotspot detection and proliferation rate scoring for prognostic evaluation of breast cancer[J]. Scientific Reports, 7, 3213(2017).

[9] Pilutti D, Mea V D, Pegolo E et al. An adaptive positivity thresholding method for automated Ki-67 hotspot detection (AKHoD) in breast cancer biopsies[J]. Computerized Medical Imaging and Graphics, 61, 28-34(2017).

[10] Zhang L, Li J X, Lu H B. Identification of pathological mitosis figure based on colorimetric characteristics[J]. Space Medicine & Medical Engineering, 28, 270-274(2015).

[11] Zhang G H, Xu K, Duan G D et al. A fast labeling algorithm of connected components applicable for hardware implementation[J]. Journal of Xi’an Jiaotong University, 52, 95-101(2018).

[12] Luo J, Yang Y S, Shi B Y. Multi-threshold image segmentation of 2D Otsu based on improved adaptive differential evolution algorithm[J]. Journal of Electronics & Information Technology, 41, 2017-2024(2019).

[13] Li Y H, Yao L, Ren J et al. Non-uniform image segmentation based on adaptive region fitting[J]. Laser & Optoelectronics Progress, 59, 1810008(2022).

[14] Liu G H, Zhang L, Xing J et al. Identification method of breast cancer cells based on HSV[J]. Journal of Optoelectronics·Laser, 34, 107-112(2023).

[15] Zhou Z X. USAF 1951 resolution target[J]. Technology Foundation of National Defence, 7-10(1995).

[16] Xu M S, Guan Z W, Wang L X. Nuclear morphometrical analysis of breast cancer[J]. Chinese Journal of Medical Imaging Technology, 17, 544-545(2001).

[17] Wang J, Meng G, Zhou X D. Relationship between nuclear morphometrical quantitative analysis and clinicopathological features of breast cancer[J]. Chinese Journal of Clinical and Experimental Pathology, 30, 954-957, 962(2014).