Litcius/Paper detail

Deep convolutional neural network-based anomaly detection for organ classification in gastric X-ray examination

Ren Togo, Haruna Watanabe, Takahiro Ogawa, Miki Haseyama

2020Computers in Biology and Medicine14 citationsDOIOpen Access PDF

Topics & Concepts

AutoencoderArtificial intelligenceConvolutional neural networkPattern recognition (psychology)Anomaly detectionComputer scienceSupport vector machineDeep learningAnomaly (physics)PhysicsCondensed matter physicsCOVID-19 diagnosis using AIAnomaly Detection Techniques and ApplicationsColorectal Cancer Screening and Detection
Deep convolutional neural network-based anomaly detection for organ classification in gastric X-ray examination | Litcius