Potential early-stage cancer identification technique during endoscopic examination

Y. Cheng, Ching-Hwa Cheng
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Abstract

In its early stages, cancer does not appear very different from the surrounding areas. Inexperienced physicians do not always accurately locate all cancer areas suitable since there are similarly colored and outlined organ surfaces. However, potential early-stage cancer has certain surface symptoms in terms of the color and the distribution of blood tubes. The main purpose of this work is to provide information concerning the identification of early-stage cancer during endoscopic examination. The proposed algorithm has been developed thorough image processing techniques, thereby incorporating and adjusting the statistical value to determine correct lesion recognition. There is 80% in accuracy to allocate the suspect lesion location from the three video experiments.
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内镜检查中潜在的早期癌症识别技术
在早期阶段,癌症看起来与周围区域没有太大的不同。缺乏经验的医生并不总是准确地定位所有合适的癌症区域,因为有相似的颜色和轮廓的器官表面。然而,潜在的早期癌症在血管的颜色和分布方面有一定的表面症状。本工作的主要目的是为内镜检查中早期癌症的识别提供信息。该算法已经发展了全面的图像处理技术,从而结合和调整统计值来确定正确的病变识别。从三个视频实验中,对可疑病变位置的分配准确率达到80%。
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