PCa-RadHop: A transparent and lightweight feed-forward method for clinically significant prostate cancer segmentation
Vasileios Magoulianitis, Jiaxin Yang, Yijing Yang, Jintang Xue, Masatomo Kaneko, Giovanni Cacciamani, Andre Luis Abreu, Vinay Duddalwar, C.‐C. Jay Kuo, Inderbir S. Gill, C.L. Nikias
Topics & Concepts
InterpretabilityComputer scienceArtificial intelligenceSegmentationDeep learningFeature (linguistics)Pattern recognition (psychology)Pipeline (software)RadiogenomicsMagnetic resonance imagingMachine learningRadiomicsMedicineRadiologyProgramming languageLinguisticsPhilosophyProstate Cancer Diagnosis and TreatmentRadiomics and Machine Learning in Medical ImagingProstate Cancer Treatment and Research