Diagnostic cytology, which is used to screen for cervical cancer, involves characterizing cellular features such as shape, size, and texture. Automated screening of cervical smear slides is desirable but computationally challenging since each slide requires processing 2 x 10(9) pixels at a resolution of 0.8 mu m per pixel. We demonstrate that the throughput of optical processors can be exploited in automated cervical smear-screening systems. In particular, we identify a morphological shape detector to perform the initial region of interest (ROT) detection and to demonstrate experimentally its optoelectronic implementation. The ROI detector is tested on 200 images, and its performance is characterized as a receiver operating characteristic (ROC). The area under the ROC curve is as high as 96.4% of the total area. The simulation and the experimental results are found comparable, and the discrepancy between the two results is determined to be a function of the number of bits represented in the filter plane device. (C) 1998 Optical Society of America. [References: 37]
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机译：诊断细胞学用于筛查宫颈癌，涉及表征细胞特征，例如形状，大小和质地。希望对宫颈涂片进行自动筛选，但是在计算上存在挑战，因为每个载玻片都需要以每像素0.8微米的分辨率处理2 x 10（9）像素。我们证明光学处理器的吞吐量可以在自动宫颈涂片筛查系统中得到利用。特别是，我们确定了一种形态学形状检测器，以执行感兴趣的初始区域（ROT）检测并通过实验证明其光电实现。 ROI检测器在200张图像上进行了测试，其性能被表征为接收器工作特性（ROC）。 ROC曲线下的面积高达总面积的96.4％。发现仿真和实验结果是可比较的，并且确定两个结果之间的差异是滤波器平面设备中表示的位数的函数。 （C）1998年美国眼镜学会。 [参考：37]
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