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基于图像处理技术的胃癌计算机辅助诊断系统。

Computer-Aided Diagnosis System for Detection of Stomach Cancer with Image Processing Techniques.

机构信息

Computer Programming, Guneysinir Vocational School of Higher Education Selcuk University, Guneysinir, 42190, Konya, Turkey.

Faculty of Technology, Electrical and Electronics Engineering Selcuk University, 42031, Konya, Turkey.

出版信息

J Med Syst. 2019 Mar 14;43(4):99. doi: 10.1007/s10916-019-1203-y.

Abstract

Stomach cancer is a type of cancer that is hard to detect at an early stage because it gives almost no symptoms at the beginning. Stomach cancer is an increasing incidence of cancer both in the World as well as in Turkey. The most common method used worldwide for gastric cancer diagnosis is endoscopy. However, definitive diagnosis is made with endoscopic biopsy results. Diagnosis with endoscopy is a very specific and sensitive method. With high-resolution endoscopy it is possible to detect mild discolorations, bulges and structural changes of the surface of the mucosa. However, because the procedures are performed with the eye of a doctor, it is possible that the cancerous areas may be missed and / or incompletely detected. Because of the fact that the cancerous area cannot be completely detected may cause the problem of cancer recurrence after a certain period of surgical intervention. In order to overcome this problem, a computerized decision support system (CDS) has been implemented with the help of specialist physicians and image processing techniques. The performed CDS system works as an assistant to doctors of gastroenterology, helping to identify the cancerous area in the endoscopic images of the scaffold, to take biopsies from these areas and to make a better diagnosis. We believe that gastric cancer will be helpful in determining the area and biopsy samples taken from the patient will be useful in determining the area. It is therefore considered a useful model.

摘要

胃癌是一种很难在早期发现的癌症,因为它在早期几乎没有任何症状。胃癌是世界范围内以及土耳其发病率不断上升的癌症。全世界用于胃癌诊断的最常用方法是内窥镜检查。然而,最终的诊断是通过内窥镜活检结果做出的。内窥镜诊断是一种非常特异和敏感的方法。通过高分辨率内窥镜可以检测到黏膜表面的轻微变色、隆起和结构变化。然而,由于这些程序是由医生的肉眼进行的,因此可能会错过和/或不完全检测到癌变区域。由于无法完全检测到癌变区域,可能会导致手术后一定时期内癌症复发的问题。为了克服这个问题,在专家医生和图像处理技术的帮助下,已经实施了计算机化决策支持系统(CDS)。所执行的 CDS 系统作为胃肠病学医生的助手,有助于识别支架内窥镜图像中的癌变区域,从这些区域进行活检,并做出更好的诊断。我们相信,该系统有助于确定癌变区域,并且从患者身上采集的活检样本将有助于确定癌变区域。因此,它被认为是一种有用的模型。

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