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• Overview of Deep Learning in Gastrointestinal Endoscopy

• Automatic Anatomical Classifcation of Esophagogastroduodenoscopy Images Using Deep Convolutional Neural Networks

• Application of Artifcial Intelligence Using a Convolutional Neural Network for Detecting Gastric Cancer in Endoscopic Images

• Application of Convolutional Neural Networks in the Diagnosis of Helicobacter pylori Infection Based on Endoscopic Images

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• A Multi-Class Image Dataset for Computer Aided Gastrointestinal Disease Detection

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• Theory of Cortical Functions

• Reducing the Dimensionality of Data with Neural Networks

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