Breast Cancer Mammography Dataset with Lymph Node Metastasis Evaluation

This dataset includes clinical and mammographic imaging data from 1289 breast cancer patients, collected retrospectively between 2010 and 2021 at two clinical centers. It aims to explore the effectiveness of artificial intelligence in assessing prognostic indicators from mammography for detecting lymph node metastases in breast cancer. The dataset consists of digital mammography images (FFDM), radiological assessments, and detailed clinical data including histopathological outcomes. Inclusion criteria: diagnosis of breast cancer between 2010-2021, age ≥18 years, availability of preoperative mammography images for both breasts with radiological description, and availability of postoperative histopathological results. Failure to meet any of these conditions constitutes an exclusion criterion.
The publicly available version of this dataset includes clinical data only. Mammographic imaging data are not shared openly due to data protection regulations and are available upon reasonable request from qualified researchers. Project funded by the National Science Centre (NCN) under the Miniatura 5 programme, grant number 2021/05/X/NZ5/01776.