Applying brain, artery, and vein segmentation masks after deep learning detection cut false positives by 51-71% in two aneurysm models with no loss of true positives on the test set.
Multidimensional Deep Learning Reduces False-Positives in the Automated Detection of Cerebral Aneurysms on Time-Of-Flight Magnetic Resonance Angiography: A Multi- Center Study
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Automated anatomy-based post-processing reduces false positives and improved interpretability of deep learning intracranial aneurysm detection
Applying brain, artery, and vein segmentation masks after deep learning detection cut false positives by 51-71% in two aneurysm models with no loss of true positives on the test set.