Computer-aided diagnosis is a fast-developing area in medical practice and relies on the appropriate preprocessing of images from two dominant acquisition technologies, analog or film-based, and digital. Preprocessing consists of intensity equalization and segmentation of various objects in images. Here, we propose a methodology for the extraction of masks from manually segmented mammograms using affordable consumer electronic devices to provide manual segmentation performed by medical professionals. The result of this work is a database of hand-drawn segmentation masks for usage with the (mini)-MIAS database mammograms. This database can be used as a benchmarking tool for testing the accuracy of automatic breast tissue, pectoral muscle, and dense tissue segmentation algorithms.

中文翻译：

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小型乳腺X射线摄影图像分析学会（mini-MIAS）数据库的分割蒙版

计算机辅助诊断是医学实践中一个快速发展的领域，它依赖于对来自两种主要采集技术（基于模拟或电影的技术以及数字技术）的图像进行适当的预处理。预处理包括强度均衡和图像中各个对象的分割。在这里，我们提出了一种使用负担得起的消费电子设备从手动分割的乳房X线照片中提取遮罩的方法，以提供医疗专业人员执行的手动分割。这项工作的结果是一个手绘的分割蒙版数据库，用于（mini）-MIAS数据库乳房X线照片。该数据库可用作测试自动乳房组织，胸肌和密集组织分割算法准确性的基准工具。