乳腺癌是全球女性最常见的恶性肿瘤同时也是世界第一大癌症根据世界卫生组织国际癌症研究机构发布的《2020全球癌症报告》显示乳腺癌2020年新增人数达到226万位列第一1在中国每年都有接近20万女性患病发病率以3~4的速度增长并且呈现发病群体年轻化的态势2是当下严重的公共医疗卫生挑战。近些年来许多针对乳腺X线摄影图的肿块分割模型已被提出。其中基于深度学习的肿块分割模型得到广泛关注并取得了不错的效果。翻

Breast cancer is the most common malignant tumor among women worldwide, and is also the largest cancer in the world. According to the "2020 Global Cancer Report" released by the International Agency for Research on Cancer of the World Health Organization, the number of new cases of breast cancer in 2020 reached 2.26 million, ranking first. In China, nearly 200,000 women are diagnosed with breast cancer every year, and the incidence rate is increasing at a rate of 3% to 4% per year. It is a serious public health challenge in the current era, especially as the incidence of the disease is becoming increasingly common among younger women. In recent years, many models for segmenting breast X-ray images have been proposed, among which deep learning-based models have received widespread attention and have achieved satisfactory results