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Combined Transfer Learning and Test-Time Augmentation Improves Convolutional Neural Network-Based Semantic Segmentation of Prostate Cancer from Multi-Parametric MR Images

David I. Hoar, Peter Q. Lee, Alessandro Guida, Steven Patterson, Chris V. Bowen, Jennifer Merrimen, Cheng Wang, Ricardo Rendon, Steven Beyea, Sharon E. Clarke

2021Computer Methods and Programs in Biomedicine31 citationsDOI

Topics & Concepts

Convolutional neural networkArtificial intelligenceRandom forestReceiver operating characteristicComputer scienceWilcoxon signed-rank testTransfer of learningDiceProstate cancerPattern recognition (psychology)Machine learningMedicineCancerStatisticsMathematicsMann–Whitney U testInternal medicineProstate Cancer Diagnosis and TreatmentMRI in cancer diagnosisAI in cancer detection
Combined Transfer Learning and Test-Time Augmentation Improves Convolutional Neural Network-Based Semantic Segmentation of Prostate Cancer from Multi-Parametric MR Images | Litcius