Test-retest repeatability of a deep learning architecture in detecting and segmenting clinically significant prostate cancer on apparent diffusion coefficient (ADC) maps
Amogh Hiremath, Rakesh Shiradkar, Harri Merisaari, Prateek Prasanna, Otto Ettala, Pekka Taimen, Hannu J. Aronen, Peter J. Boström, Ivan Jambor, Anant Madabhushi
Topics & Concepts
RepeatabilityProstate cancerMedicineSegmentationNuclear medicineEffective diffusion coefficientProstatectomyProstateCoefficient of variationSørensen–Dice coefficientMagnetic resonance imagingMathematicsRadiologyArtificial intelligenceImage segmentationCancerComputer scienceStatisticsInternal medicineProstate Cancer Diagnosis and TreatmentMRI in cancer diagnosisAI in cancer detection