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BackgroundIn recent years, deep learning has gained remarkable attention in medical image analysis due to its capacity to provide results comparable to specialists and, in some cases, surpass them. Despite the emergence of deep learning research on gastric tissues diseases, few intensive reviews are addressing this topic.MethodWe performed a systematic review related to applications of deep learning in gastric tissue disease analysis by digital histology, endoscopy and radiologydoi:10.1136/bmjgast-2019-000371 pmid:32337060 pmcid:PMC7170401 fatcat:tmlxfjmdmrht3aa2yvyotguvuy