Litcius/Paper detail

RadFormer: Transformers with global–local attention for interpretable and accurate Gallbladder Cancer detection

Soumen Basu, Mayank Gupta, Pratyaksha Rana, Pankaj Gupta, Chetan Arora

2022Medical Image Analysis54 citationsDOI

Topics & Concepts

Computer scienceArtificial intelligenceArchitectureTransformerCancer detectionFeature (linguistics)Pattern recognition (psychology)Artificial neural networkCode (set theory)Representation (politics)Feature extractionDeep neural networksMachine learningCancerMedicinePolitical scienceArtPhilosophyPoliticsProgramming languageLawSet (abstract data type)VoltageLinguisticsVisual artsQuantum mechanicsInternal medicinePhysicsCancer-related molecular mechanisms researchAI in cancer detectionRadiomics and Machine Learning in Medical Imaging
RadFormer: Transformers with global–local attention for interpretable and accurate Gallbladder Cancer detection | Litcius