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Recognizing signs of malignancy — The quest for computer assisted cancer screening and diagnosis systems

机译:识别恶性肿瘤的迹象 - 追求计算机辅助癌症筛查和诊断系统

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Almost all cancers are diagnosed through visual examination of microscopic tissue samples. Visual screening of cell samples, so called PAP-smears, has drastically reduced the incidence of cervical cancers in countries that have implemented population wide screening programs. But the visual examination is tedious, subjective and expensive. There has therefore been much research aiming for computer assisted or automated cell image analysis systems for cancer detection and diagnosis. Progress has been made but still most of cytology and pathology is done visually. In this presentation I will discuss some of the major issues involved, examine some of the proposed solutions and give some comments about the state of the art.
机译:通过视觉检查微观组织样品几乎所有癌症都被诊断出来。细胞样品的视觉筛选,所谓的Pap-Smears,大大降低了在各个国家实施宽屏计划的国家的宫颈癌的发病率。但视觉检查乏味,主观和昂贵。因此,对于癌症检测和诊断的计算机辅助或自动细胞图像分析系统,已经存在许多研究。已经进行了进展,但仍然是大多数细胞学和病理学在视觉上进行。在本演示文稿中,我将讨论涉及的一些主要问题,检查一些提出的解决方案,并对最先进的一些提出一些评论。

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