机译:利用深度学习发现来自胃内镜下图像的恶性肿瘤
Gachon Univ Coll Med Dept Biomed Engn 38 3 Dockjeomro Incheon 21565 South Korea;
Gachon Univ Coll Med Dept Biomed Engn 38 3 Dockjeomro Incheon 21565 South Korea;
Gachon Univ Coll Med Dept Biomed Engn 38 3 Dockjeomro Incheon 21565 South Korea;
Gachon Univ Coll Med Dept Biomed Engn 38 3 Dockjeomro Incheon 21565 South Korea;
Gachon Univ Gachon Gil Hosp Coll Med Dept Gastroenterol Incheon South Korea;
Gachon Univ Gachon Gil Hosp Coll Med Dept Gastroenterol Incheon South Korea;
Gachon Univ Gachon Gil Hosp Coll Med Dept Gastroenterol Incheon South Korea;
Gachon Univ Coll Med Dept Biomed Engn 38 3 Dockjeomro Incheon 21565 South Korea;
Gachon Univ Gachon Gil Hosp Coll Med Dept Gastroenterol Incheon South Korea;
Gastrointestinal malignancy; Endoscopy; Ulcer; Cancer; Deep learning; Neural network; ResNet;
机译:利用深度学习发现来自胃内镜下图像的恶性肿瘤
机译:基于内窥镜图像的深度学习模型用于鼻咽恶性肿瘤检测的开发和验证
机译:基于深度学习的内窥镜图像识别,用于检测早期胃癌:中国观点
机译:多模式内窥镜成像和拉曼光谱在临床胃镜检查中改善胃恶性肿瘤的体内诊断
机译:利用深度学习,从计算机断层扫描图像的肺结死恶性预测
机译:基于内窥镜图像的深度学习模型用于鼻咽恶性肿瘤检测的开发和验证
机译:利用深度学习的恶性和良性内窥镜图像之间的分化