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LLaVA-Endo:a large language-and-vision assistant for gastrointestinal endoscopy
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作者 Jieru YAO Xueran LI +5 位作者 Qiang XIE Longfei HAN Yiwen JIA Nian LIU Dingwen ZHANG Junwei HAN 《Frontiers of Computer Science》 2025年第4期121-123,共3页
1 Introduction Endoscopy plays a crucial role in the diagnoses and treatment of gastrointestinal(GI)diseases[1],as it helps to identify abnormalities,classify lesion,and determine treatment methods.During GI endoscopi... 1 Introduction Endoscopy plays a crucial role in the diagnoses and treatment of gastrointestinal(GI)diseases[1],as it helps to identify abnormalities,classify lesion,and determine treatment methods.During GI endoscopic examinations,physicians may encounter practical hindrances,i.e.,fatigue,stress,or limited experience,which can lead to erroneous results.Artificial intelligence(AI)-assisted GI endoscopy technology has emerged to address these limitations[2]. 展开更多
关键词 STRESS giendoscopy FATIGUE identify abnormalitiesclassify lesionidentification ARTIFICIALINTELLIGENCE
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