乳房x线摄影影像诊断和检测乳腺癌的数据库

M. Beham, N. Kayalvizhi, R. Tamilselvi, A. Nagaraj
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引用次数: 0

摘要

近年来,乳房x光检查是检测乳腺癌最广泛使用的技术。肿块和钙化是乳腺癌的异常表现。乳腺癌是妇女癌症死亡的主要原因。先进的技术与现有的成像模式改善乳腺癌筛查。大多数乳房x线摄影图像数据集不容易获得。乳房x线摄影图像分析协会(MIAS)和乳腺x线摄影筛查数字数据库(DDSM)是最容易获得的乳房x线摄影图像数据集。mamsit是乳腺x线影像分析的另一个数据集。乳房x光检查数据集命名为MAMMSIT,它包含乳房x光检查的正常和恶性组图像。我们提出的数据集提供了适当的注释细节,如年龄,背景组织,超声波屏幕位置(即左和右)和BIRADS级别,包括在数据库中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MAMMSIT: A Database For The diagnosis and detection of Breast Cancer in Mammography images
In recent days Mammography is most widely used techniques to detect the Breast cancer. Masses and calcifications are the abnormalities indicate the breast cancer. . Breast cancer is the leading cause of cancer deaths in women. Advanced technologies with existing imaging modalities improve breast cancer screening. Most of the Mammographic image data sets are not easily available. The Mammographic Image Analysis Society (MIAS) and Digital Database for Screening Mammography (DDSM) are the most easily available data set for Mammographic images. MAMMSIT is another data set for the mammographic image analysis. The mammogram data set is named as MAMMSIT and it contains Normal and Malignant group images of mammography. Our proposed data set provided with appropriate annotations details such as age, background tissue, ultra sound screen position (i.e., left and right) and BIRADS level are included in the database.
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