The aim of the present study was to design an adaptable pattern recognition (PR) system to discriminate low- from high-grade squamous intraepithelial lesions (LSIL and HSIL, respectively) of the cervix using microscopy images of hematoxylin and eosin (H&E)-stained biopsy material from two different medical centers. Clinical material comprised H&E-stained biopsies of 66 patients diagnosed with LSIL (34 cases) or HSIL (32 cases). Regions of interest were selected from each patient’s digitized microscopy images. Seventy-seven features were generated, regarding the texture, morphology and spatial distribution of nuclei. The probabilistic neural network (PNN) classifier, the exhaustive search feature selection method, the leave-one-out (LOO) and the bootstrap validation methods were used to design the PR system and to assess its precision. Optimal PR system design and evaluation were made feasible by the employment of graphics processing unit (GPU) and Compute Unified Device Architecture (CUDA) technologies. The accuracy of the PR-system was 93% and 88.6% when using the LOO and bootstrap validation methods, respectively. The proposed PR system for discriminating LSIL from HSIL of the cervix was designed to operate in a clinical environment, having the capability of being redesigned when new verified cases are added to its repository and when data from other medical centers are included, following similar biopsy material preparation procedures.

中文翻译：

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基于GPU的自适应模式识别系统设计，用于识别子宫颈鳞状上皮内病变。

本研究的目的是设计一种适应性模式识别（PR）系统，以使用苏木精和曙红（H＆E）染色的显微镜图像来区分宫颈的低度和高度鳞状上皮内病变（分别为LSIL和HSIL）来自两个不同医疗中心的活检材料。临床资料包括66例经诊断为LSIL（34例）或HSIL（32例）的患者的H＆E染色活检。从每个患者的数字化显微图像中选择感兴趣的区域。关于核的质地，形态和空间分布，生成了77个特征。概率神经网络（PNN）分类器，穷举搜索特征选择方法，留一法（LOO）和自举验证方法用于设计PR系统并评估其精度。通过使用图形处理单元（GPU）和计算统一设备架构（CUDA）技术，可以实现最佳的PR系统设计和评估。使用LOO和自举验证方法时，PR系统的准确性分别为93％和88.6％。拟议的区分LSIL和宫颈HSIL的PR系统旨在在临床环境中运行，并具有类似的活检材料，可以在将新的经过验证的病例添加到其存储库中并且包括其他医疗中心的数据时进行重新设计。准备程序。使用LOO和自举验证方法时分别为6％。拟议的区分LSIL和宫颈HSIL的PR系统设计为在临床环境中运行，并具有类似的活检材料，可以在将新的经过验证的病例添加到其存储库中并且包括其他医疗中心的数据时进行重新设计。准备程序。使用LOO和自举验证方法时分别为6％。拟议的区分LSIL和宫颈HSIL的PR系统设计为在临床环境中运行，并具有类似的活检材料，可以在将新的经过验证的病例添加到其存储库中并且包括其他医疗中心的数据时进行重新设计。准备程序。