首页> 外国专利> DIAGNOSTIC ASSISTANCE METHOD, DIAGNOSTIC ASSISTANCE SYSTEM, DIAGNOSTIC ASSISTANCE PROGRAM, AND COMPUTER-READABLE RECORDING MEDIUM STORING THEREIN DIAGNOSTIC ASSISTANCE PROGRAM FOR DISEASE BASED ON ENDOSCOPIC IMAGE OF DIGESTIVE ORGAN

DIAGNOSTIC ASSISTANCE METHOD, DIAGNOSTIC ASSISTANCE SYSTEM, DIAGNOSTIC ASSISTANCE PROGRAM, AND COMPUTER-READABLE RECORDING MEDIUM STORING THEREIN DIAGNOSTIC ASSISTANCE PROGRAM FOR DISEASE BASED ON ENDOSCOPIC IMAGE OF DIGESTIVE ORGAN

机译:诊断辅助方法,诊断辅助系统,诊断辅助程序和计算机可读记录介质,基于消化器官的内窥镜图像,疾病诊断辅助程序

摘要

A diagnostic assistance method for a disease based on an endoscopic image of a digestive organ with use of a convolutional neural network (CNN) trains the CNN using a first endoscopic image of the digestive organ and at least one final diagnosis result of the positivity or the negativity for the disease in the digestive organ, or information corresponding to a severity level, the final diagnosis result being corresponding to the first endoscopic image, and the trained CNN outputs at least one of a probability of the positivity and/or the negativity for the disease in the digestive organ, a severity level of the disease, or a probability corresponding to the invasion depth (infiltration depth) of the disease, based on a second endoscopic image of the digestive organ.
机译:基于使用卷积神经网络(CNN)的消化器官的内窥镜图像的诊断辅助方法使用卷积神经网络(CNN)使用消化器官的第一内窥镜图像和积极性的至少一个最终诊断结果进行CNN 消化器官中疾病的消极性,或对应于严重程度的信息,对应于第一内窥镜图像的最终诊断结果,并且训练的CNN输出阳性和/或消极性的概率中的至少一个 消化器官中的疾病,疾病的严重程度,或者基于消化器官的第二内窥镜图像,对疾病的侵袭深度(浸润深度)对应的概率。

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