Narayanswamy R, Johnson K M
Appl Opt. 1998 Sep 1;37(25):6011-25. doi: 10.1364/ao.37.006011.
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 mum 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 (ROI) 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.
用于宫颈癌筛查的诊断细胞学涉及对细胞特征（如形状、大小和质地）进行表征。对宫颈涂片载玻片进行自动筛查是可取的，但计算量很大，因为每张载玻片需要以每像素0.8微米的分辨率处理2×10⁹个像素。我们证明，光学处理器的吞吐量可用于自动宫颈涂片筛查系统。特别是，我们确定了一种形态形状检测器来执行初始感兴趣区域（ROI）检测，并通过实验展示其光电实现。该ROI检测器在200幅图像上进行了测试，其性能以接收者操作特征（ROC）进行表征。ROC曲线下的面积高达总面积的96.4%。发现模拟结果和实验结果具有可比性，并且确定两者之间的差异是滤波平面器件中表示的位数的函数。
