Artificial Intelligence in the Imaging of Gastric Cancer: Current Applications and Future Direction.

ABSTRACT: Gastric cancer (GC) is one of the most common cancers and one of the leading causes of cancer-related death worldwide. Precise diagnosis and evaluation of GC, especially using noninvasive methods, are fundamental to optimal therapeutic decision-making. Despite the recent rapid advancements in technology, pretreatment diagnostic accuracy varies between modalities, and correlations between imaging and histological features are far from perfect. Artificial intelligence (AI) techniques, particularly hand-crafted radiomics and deep learning, have offered hope in addressing these issues. AI has been used widely in GC research, because of its ability to convert medical images into minable data and to detect invisible textures. In this article, we systematically reviewed the methodological process

SUBMITTER: Qin Y 

PROVIDER: S-EPMC8335156 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature