Multi-Task Learning for False-Positive Reduction and Segmentation of Cerebral Aneurysms in CTA Scans

The computer-aided diagnosis for cerebral aneurysms consists of three major steps, which are lesion detection, false-positive reduction, and segmentation. Many methods based on deep learning technology have been designed for each of these tasks separately, without the shared information to further collaborate these models with each other, and therefore limit their further performance improvements....