星状癌和纤维腺瘤的数字化乳房x线照片计算机分类

K. M. Allain, G. Coté
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引用次数: 1

摘要

本研究的最终目标是设计并实现一个基于计算机的系统,该系统能够区分多种不同的恶性和良性乳腺肿瘤。根据设想,通过将计算机分类技术与患者年龄和临床病史结合到一个专家系统中,该仪器将作为一种筛查设备,帮助放射科医生无创地对肿瘤类型进行分类,可能不需要进行活检。本文将描述该方法的第一阶段,其中包括结合三个特征来降低星状癌和纤维腺瘤之间的计算机区分。扫描图像是胶片乳房x线片的数字化图像。设计并开发了一个用户友好的系统,以圆度、表面粗糙度和边界粗糙度为特征来识别数字图像中指示恶性的特征。
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Computer classification of stellate carcinomas and fibroadenomas using digitized mammograms
T h e final goal of this research is to deslgn a n d implement a computer based system capable of distinguishing between a number of different malignant and benign breast tumors. I t is envisioned that, by incorporat ing computer classification techniques along with patient age and clinical history into a n expert system, the f h a l instrument will be used as a screening device to aid the radiologist In classifying the tumor type noninvasively, potentially without the need fo r biopsy. This paper will describe the first pliase of this approach which includes the incorporat ion of three features to ullow computer differentiation between stellate carcinonras and fibroadenomas. The scanning nicdla was tlie digitized ininge of a film-screen mammogranl . A user friciidly systeni was designed a n d developed which used circularity, su r face roughness, and boundary rougliness as the features to identify those character is t ics in thc digital iniugc which indicate malignancy.
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