Breast cancer dataset

The dataset used in this study consists of 7,632 mammogram images categorized into two classes: 2,520 benign and 5,112 malignant images from Huang and Lin (2020). The mammography images in the INbreast database were originally collected from the Centro Hospitalar de S. Joao (CHSJ) Breast Center in Porto. The database contains data collected from August 2008 to July 2010 and includes 115 cases with a total of 410 images (Moreira et al., 2012). Of these, 90 cases concern women with abnormalities in both breasts. Four different types of breast disease are recorded in the database: Mass, calcification, asymmetries and distortions. The mammograms are recorded from two standard perspectives: Craniocaudal (CC) and Mediolateral Oblique (MLO). In addition, breast density is classified into four categories based on the BI-RADS standards: Fully Fat (Density 1), Scattered Fibrous-Landular Density (Density 2), Heterogeneously Dense (Density 3) and Extremely Dense (Density 4). The images are stored in two resolutions: 3328 x 4084 pixels or 2560 x 3328 pixels, in DICOM format. 106 mammograms depicting breast masses were selected from the INbreast database. To enhance the dataset for model training, data augmentation techniques were applied, increasing the total number of breast mammography images to 7,632.本研究使用的数据集源自Huang与Lin（2020）的公开成果，共包含7632张经分类的乳腺X光图像，其中良性图像2520张、恶性图像5112张。该数据集的原始图像来自INbreast数据库（INbreast database）：INbreast数据库最初采集自葡萄牙波尔图圣若昂医院乳腺中心（Centro Hospitalar de S. Joao, CHSJ Breast Center），采集周期为2008年8月至2010年7月，共收录115例受试者的410张图像（Moreira等，2012）。其中90例为双侧乳腺存在异常的女性受试者。该数据库记录了4种乳腺病变类型：肿块（Mass）、钙化（calcification）、乳腺不对称（asymmetries）以及结构扭曲（distortions）。乳腺X光图像采用两种标准拍摄体位：头尾位（Craniocaudal, CC）与内外斜位（Mediolateral Oblique, MLO）。此外，依据乳腺影像报告和数据系统（BI-RADS）标准，乳腺密度被划分为4个等级：脂肪型（密度1级）、散在纤维腺体型（密度2级）、不均匀致密型（密度3级）与极度致密型（密度4级）。图像以两种分辨率存储：3328×4084像素或2560×3328像素，格式为DICOM。研究人员从INbreast数据库中选取了106张显示乳腺肿块的X光图像，并通过数据增强技术扩充数据集，最终使乳腺X光图像总数量达到7632张。