Self-supervised contrastive learning with random walks for medical image segmentation with limited annotations
Marc Fischer, Tobias Hepp, Sergios Gatidis, Bin Yang
Topics & Concepts
Computer scienceSegmentationArtificial intelligenceLeverage (statistics)SalientPattern recognition (psychology)Random forestSupervised learningRandom walkAnnotationDiceMachine learningNatural language processingArtificial neural networkMathematicsStatisticsDomain Adaptation and Few-Shot LearningAdvanced Neural Network ApplicationsGenerative Adversarial Networks and Image Synthesis