Abstract
Recently, pathologists diagnose the grade of cancer by observing the pathological images. But, the number of pathologist is about 0.3 person per a unit of hospital in Japan. Moreover, the disease rate of gastric cancer is now second ranking, and the number will increase according to rapidly aging every year. A computer-aided-diagnosis is expected as the solution. In previous research, although the malignancy of gastric cancer was classified by a convolutional neural network (CNN), a sufficient classification rate was not obtained., and the effect according to dataset to CNN is not sufficiently discussed. In this paper, the malignancy of gastric cancer is classified by CNN according to Group classification. Specially, 3-class classification (Group1, Group3, Group5) is performed.
