DEEP LEARNING-BASED COMPUTER-AIDED DIAGNOSIS SYSTEM FOR GASTROSCOPY IMAGE CLASSIFICATION USING SYNTHETIC DATA

Gastric cancer has a high mortality rate worldwide, but it can be prevented with early detection through regular gastroscopy.Herein, we propose a deep learning-based computer-aided diagnosis (CADx) system applying data augmentation to help doctors classify gastroscopy images as normal or abnormal.To improve the performance of deep learning, a large

Classical historical and art studies in the context of the development of modern humanities are frequently synthesised with research on visual culture and social art history, forming a broad discourse on the study of the culture of a particular era, country, or community.This optics is taken as the basis REPLICAS for this study, wherein such a fund