Modality attention and sampling enables deep learning with heterogeneous marker combinations in fluorescence microscopy
Álvaro Gomariz, Tiziano Portenier, Patrick M. Helbling, Stephan Isringhausen, Ute Suessbier, César Nombela‐Arrieta, Orçun Göksel
Topics & Concepts
Computer scienceArtificial intelligenceModality (human–computer interaction)Deep learningPattern recognition (psychology)Artificial neural networkMicroscopyWorkloadDigital pathologyFluorescence microscopeSampling (signal processing)Deep neural networksMachine learningComputer visionPathologyFluorescenceMedicineQuantum mechanicsFilter (signal processing)Operating systemPhysicsCell Image Analysis TechniquesAI in cancer detectionDomain Adaptation and Few-Shot Learning