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The Research and Exploration of Soft X-Ray Microscopy on the Image Identification System of Squamocellular Cancer of Esophagus

机译:食管鳞癌软X射线显微镜图像识别系统的研究与探索

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Nowadays, soft X-Ray microscopy technology is one of the hottest methods that researches and observes the biological samples of natural state, whose resolution is higher than the imaging drawing of optical microscope and near to the imaging drawing of electron microscope. The technology is simple for the preparation of biological sample, which needs only ultramicrocut. And the working procedure of traditional pathology check, such as freezing, sealing wax, dehydration and dyeing, etc. isn't needed. A kind of image recognition system is selected in the paper, which identifies and researches the tissue morphological characteristics of ultrastructure imaging drawing of squamocellular cancer of esophagus obtained by soft X-Ray microscopy. The system mainly consists of components of image preprocessing, image segmentation, cellular feature extraction and cellular feature recognition, etc. Image preprocessing includes grayscale transformation, histogram adjustment, etc. Image segmentation includes segmentation based on the threshold, image processing based on the structure morphology of cell tissue, and edge detection, etc. In cellular feature extraction, the method of extracting area connected is used. And in cellular feature recognition, the judgment of area ratio of nucleus and cytoplasm is adopted. According to the morphology characteristics of tissue ultrastructure of squamocellular cancer of esophagus, a kind of cancer identification method based on the area threshold is employed emphatically in the paper, aiming at distinguishing the normal cell and cancer cell successfully. The technology application on the aspects of clinical diagnosis and differentiate diagnosis of the image recognition system in the paper still needs to be researched further.
机译:如今,软X射线显微镜技术是研究和观察自然状态生物样品的最热门方法之一,其分辨率高于光学显微镜的成像图,并且接近电子显微镜的成像图。该技术对于制备生物样品非常简单,只需超微切割即可。并且不需要传统的病理检查程序,例如冷冻,封蜡,脱水和染色等。本文选择一种图像识别系统,通过软X射线显微镜对食管鳞状细胞癌的超微结构成像图进行识别和研究。该系统主要由图像预处理,图像分割,细胞特征提取和细胞特征识别等组成。图像预处理包括灰度变换,直方图调整等。图像分割包括基于阈值的分割,基于结构形态的图像处理。在细胞特征提取中,使用了提取连接区域的方法。并且在细胞特征识别中,采用核与细胞质的面积比的判断。根据食管鳞状细胞癌组织超微结构的形态学特征,着重采用了一种基于面积阈值的癌鉴别方法,旨在成功地区分正常细胞和癌细胞。本文在图像识别系统的临床诊断和鉴别诊断方面的技术应用仍需进一步研究。

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