论文标题
与实际应用自动化乳房X线照片的计算方法的描述性分析
Descriptive analysis of computational methods for automating mammograms with practical applications
论文作者
论文摘要
乳房X线摄影是一种至关重要的筛查技术，用于早期揭示和鉴定乳腺癌，以帮助降低死亡率。乳房X线照片的实际应用不限于乳腺癌揭示，识别，而包括基于任务的镜头设计，图像压缩，图像分类，基于内容的图像检索和其他许多人。乳房X线摄影计算分析方法是专家揭示隐藏特征并在乳房X线照片中提取重要信息的有用工具。数字乳房X线照片是可用的乳房X线摄影图像以及常规的屏幕X线X线X线摄影，使乳房X线照片的自动化更加容易。在本文中，我们对数字乳房X线照片中的计算进步进行了描述性讨论，以作为计算乳腺摄影和相关领域研究和实践的指南针。讨论的重点是针对乳房X线照片的各种应用和自动化的研究。它涵盖了图像预处理，特征提取，乳房X线照片的应用，屏幕X线X线照片，数字乳房X线照片以及基准语料库的开发，用于实验数字乳房X线照片。
Mammography is a vital screening technique for early revealing and identification of breast cancer in order to assist to decrease mortality rate. Practical applications of mammograms are not limited to breast cancer revealing, identification ,but include task based lens design, image compression, image classification, content based image retrieval and a host of others. Mammography computational analysis methods are a useful tool for specialists to reveal hidden features and extract significant information in mammograms. Digital mammograms are mammography images available along with the conventional screen-film mammography to make automation of mammograms easier. In this paper, we descriptively discuss computational advancement in digital mammograms to serve as a compass for research and practice in the domain of computational mammography and related fields. The discussion focuses on research aiming at a variety of applications and automations of mammograms. It covers different perspectives on image pre-processing, feature extraction, application of mammograms, screen-film mammogram, digital mammogram and development of benchmark corpora for experimenting with digital mammograms.
