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Gastric cancer is the fourth most common cancer in the world and the second most common cause of cancer-related deaths. Accurate diagnosis of gastric cancer is very important. In recent years, with the development of computer-aided diagnosis system, pathologists can make diagnosis decisions quickly and improve their efficiency. In the computer aided diagnosis system, feature extraction is a very important step, the quality of feature extraction will affect the accuracy of gastric cancer pathological image segmentation or classification. In this paper, We summarized all the present methods of feature extraction of gastric cancer histopathological images. |
