Berg, R., Jarlman, O., & Svanberg, S. (1993). Medical transillumination imaging using short-pulse diode lasers. Applied optics, 32(4), 574-79.[2] Takeda, M., Tada, H., Higuchi, H., Kobayashi, Y., Kobayashi, M., Sakurai, Y., ... & Ohuchi, N. (2008). In vivo single molecular imaging and sentinel node navigation by nanotechnology for molecular targeting drug-delivery systems and tailor-made medicine. Breast Cancer, 15, 145-52.[3] Sechopoulos, I. (2013). A review of breast tomosynthesis. Part I. The image acquisition process. Medical physics, 40(1), 014301.[4] Sechopoulos, I. (2013). A review of breast tomosynthesis. Part II. Image reconstruction, processing and analysis, and advanced applications. Medical physics, 40(1), 014302.[5] Mehdy, M. M., Ng, P. Y., Shair, E. F., et al. (2017). Artificial neural networks in image processing for early detection of breast cancer. Computational and mathematical methods in medicine, 2017.[6] Mambou, S.J., Maresova, P., Krejcar, O., et al. (2018). Breast cancer detection using infrared thermal imaging and a deep learning model. Sensors, 18(9), 2799.[7] Houssein, E.H., Emam, M.M., Ali, A.A., et al. (2021). Deep and machine learning techniques for medical imaging-based breast cancer: A comprehensive review. Expert Systems with Applications, 167, 114161.[8] Gilbert, F.J., Tucker, L., & Young, K.C. (2016). Digital breast tomosynthesis (DBT): a review of the evidence for use as a screening tool. Clinical radiology, 71(2), 141-50.[9] Peng,Y.S. (2022). Study of model construction for breast cancer computer aided diagnosis and treatment outcome prediction(Doctoral dissertation, University of Science and Technology of China).[10]Kiarashi, N., & Samei, E. (2013). Digital breast tomosynthesis: a concise overview. Imaging in Medicine, 5(5), 467.[11]Zhang, S.S. (2022). Research on web-based computer-aided diagnosis system for breast cancer (Master's thesis, Guangxi University).[12]Gu, Y.Y. (2021). Research on the auxiliary diagnosis of breast cancer based on multimodal image fusion (Master Thesis, Donghua University).[13]Jian, J.H. (2022). An intelligent diagnosis method for breast cancer based on digital breast tomography-based imaging (Master's Thesis, Hangzhou Dianzi University).