Breast cancer is the malignant tumour that accounts for the first place in the morbidity and mortality of women in China. Early detection and treatment can not only reduce the mortality rate of breast cancer patients, but also improve their five-year survival rate and quality of life. Mammography(MG) is currently the only screening method proven to reduce the mortality rate of breast cancer patients. Its derivatives, such as digital breast tomosynthesis (DBT),contrast-enhanced digital mammography (CEDM) and contrast-enhanced digital breast tomosynthesis (CEDBT) have shown unique advantages. As one of the core technologies in today's scientific and technological development, artificial intelligence has also made great progress in the field of breast imaging. This article analyses and reviews the current development and application of AI combined with mammography and its new techniques in breast cancer diagnosis.

Muyassar Gheni, Chen Yue, Liu Hongwei. Use of novel techniques combined with AI in mammography for breast cancer. Frontiers in Medical Science Research (2023) Vol. 5, Issue 12: 103-107. https://doi.org/10.25236/FMSR.2023.051214.

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