Evaluation of gastric cancer imaging using Artificial Intelligence and Deep Learning

Artificial intelligence has exemplified radical changes in radiology and medical imaging techniqueswhich in turn led to marvelous changes in screening designs. In specific, progressions inthese techniques led to the development of a computer-assisted discovery (CAD) strategy. Artificialintelligence (AI)-based applications have distorted numerous trades and are extensively usedin various customer products and facilities. In medicine, AI is primarily being used for imageorganization and natural language dispensation and has great potential to affect image-based specialismssuch as radiology, pathology, and gastroenterology (GE). Gastric cancer (GC) is one ofthe most mutually malignant tumors with high death. Accurate diagnosis and action choices forGC rely heavily on human specialists’ cautious decisions on medical images despite the currentfast progressions in technology, pretreatment diagnostic correctness differs between modalities,and associations between imaging and histological topographies are far from faultless.

کلیدواژه ها:

artificial intelligence ، radiology ، gastric cancer ، imaging