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乳腺钼靶摄影中的计算机视觉与人工智能

Computer vision and artificial intelligence in mammography.

作者信息

Vyborny C J, Giger M L

机构信息

Department of Radiology, La Grange Memorial Hospital, IL 60525.

出版信息

AJR Am J Roentgenol. 1994 Mar;162(3):699-708. doi: 10.2214/ajr.162.3.8109525.

Abstract

The revolution in digital computer technology that has made possible new and sophisticated imaging techniques may next influence the interpretation of radiologic images. In mammography, computer vision and artificial intelligence techniques have been used successfully to detect or to characterize abnormalities on digital images. Radiologists supplied with this information often perform better at mammographic detection or characterization tasks in observer studies than do unaided radiologists. This technology therefore could decrease errors in mammographic interpretation that continue to plague human observers.

摘要

数字计算机技术的革命使新的、复杂的成像技术成为可能,接下来可能会影响放射影像的解读。在乳腺摄影中,计算机视觉和人工智能技术已成功用于检测数字图像上的异常或对其进行特征描述。在观察性研究中,获得这些信息的放射科医生在乳腺摄影检测或特征描述任务中的表现通常比没有辅助的放射科医生更好。因此,这项技术可以减少困扰人类观察者的乳腺摄影解读错误。

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