A curated mammography data set for use in computer-aided detection and diagnosis research.
A curated mammography data set for use in computer-aided detection and diagnosis research.
复制标题
DOI：
10.1038/sdata.2017.177
复制
发表时间：
2017-12-19
期刊：
影响因子：
9.8
通讯作者：
Rubin DL
中科院分区：
文献类型：
--
作者：
Lee RS;Gimenez F;Hoogi A;Miyake KK;Gorovoy M;Rubin DL
由于在乳腺X射线摄影决策支持系统领域缺乏标准的评估数据集，已发表的研究结果难以复制;大多数乳腺X射线摄影中乳腺癌的计算机辅助诊断（CADx）和检测（CADe）算法都是在私人数据集或公共数据库的未指定子集上进行评估的。这导致无法直接比较方法的性能或复制先前的结果。为了解决这一重大挑战，我们发布了一个最新的标准化版本的数字数据库，用于评估乳腺X射线摄影中未来的CADx和CADe系统（有时统称为CAD）研究。我们的数据集CBIS-DDSM（DDSM的精选乳腺成像子集）包括解压图像，经过培训的乳腺摄影师的数据选择和精选，更新的肿块分割和边界框，以及训练数据的病理诊断，格式类似于现代计算机视觉数据集。该数据集包含753个钙化病例和891个肿块病例，提供了能够分析乳腺X射线摄影决策支持系统的数据集大小。
Published research results are difficult to replicate due to the lack of a standard evaluation data set in the area of decision support systems in mammography; most computer-aided diagnosis (CADx) and detection (CADe) algorithms for breast cancer in mammography are evaluated on private data sets or on unspecified subsets of public databases. This causes an inability to directly compare the performance of methods or to replicate prior results. We seek to resolve this substantial challenge by releasing an updated and standardized version of the Digital Database for Screening Mammography (DDSM) for evaluation of future CADx and CADe systems (sometimes referred to generally as CAD) research in mammography. Our data set, the CBIS-DDSM (Curated Breast Imaging Subset of DDSM), includes decompressed images, data selection and curation by trained mammographers, updated mass segmentation and bounding boxes, and pathologic diagnosis for training data, formatted similarly to modern computer vision data sets. The data set contains 753 calcification cases and 891 mass cases, providing a data-set size capable of analyzing decision support systems in mammography.
登录
查看更多内容
影响因子：
10.9
作者：
Hoogi A;Beaulieu CF;Cunha GM;Heba E;Sirlin CB;Napel S;Rubin DL
通讯作者：
Rubin DL
影响因子：
10.6
作者：
Chan, TF;Vese, LA
通讯作者：
Vese, LA
影响因子：
3.8
作者：
Sahiner, B;Chan, HP;Hadjiiski, LM
通讯作者：
Hadjiiski, LM
影响因子：
10.6
作者：
Mudigonda, NR;Rangayyan, RM;Desautels, JEL
通讯作者：
Desautels, JEL
影响因子：
4.8
作者：
Li, LH;Clark, RA;Thomas, JA
通讯作者：
Thomas, JA