Litcius/Paper detail

Artificial intelligence assistance significantly improves Gleason grading of prostate biopsies by pathologists

Bulten, Wouter, Balkenhol, Maschenka, Belinga, Jean-Joël Awoumou, Brilhante, Américo, Çakır, Aslı, Egevad, Lars, Eklund, Martin, Farré, Xavier, Geronatsiou, Katerina, Molinié, Vincent, Pereira, Guilherme, Roy, Paromita, Saile, Günter, Salles, Paulo, Schaafsma, Ewout, Tschui, Joëlle, Vos, Anne-Marie, Delahunt, Brett, Samaratunga, Hemamali, Grignon, David J., Evans, Andrew J., Berney, Daniel M., Pan, Chin-Chen, Kristiansen, Glen, Kench, James G., Oxley, Jon, Leite, Katia R. M., McKenney, Jesse K., Humphrey, Peter A., Fine, Samson W., Tsuzuki, Toyonori

2020Queensland's institutional digital repository (The University of Queensland)83 citations

Topics & Concepts

Grading (engineering)MedicineProstate cancerProstateKappaArtificial intelligenceMedical physicsPathologyComputer scienceCancerInternal medicineMathematicsEngineeringGeometryCivil engineeringProstate Cancer Diagnosis and TreatmentAI in cancer detectionArtificial Intelligence in Healthcare and Education