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Self-supervised driven consistency training for annotation efficient histopathology image analysis

Chetan L. Srinidhi, Seung Wook Kim, Fu-Der Chen, Anne L. Martel

2021Medical Image Analysis107 citationsDOIOpen Access PDF

Topics & Concepts

Computer scienceArtificial intelligenceConsistency (knowledge bases)Benchmark (surveying)Machine learningBootstrapping (finance)AnnotationFeature (linguistics)Pattern recognition (psychology)Feature learningRepresentation (politics)Transfer of learningUnsupervised learningArtificial neural networkSupervised learningTask (project management)Deep learningCode (set theory)Source codeLabeled dataRegressionSemi-supervised learningCategorizationSegmentationFeature vectorFeature extractionFeature selectionConvolutional neural networkGeneralityAI in cancer detectionDigital Imaging for Blood DiseasesAdvanced Neural Network Applications
Self-supervised driven consistency training for annotation efficient histopathology image analysis | Litcius