GasHisSDB

GasHisSDB is a New Gastric Histopathology Sub-size Image Database with a total of 245196 images. GasHisSDB is divided into 160x160 pixels sub-database, 120x120 pixels sub-database and 80x80 pixels sub-database. GasHisSDB is made to realize the function of evaluating image classification. In order to prove that the methods of different periods in the field of image classification have discrepancies on GasHisSDB, we select a variety of classifiers for evaluation. Seven classical machine learning classifiers, three CNN classifiers and a novel transformer-based classifier are selected for testing on image classification tasks.