Fig. 2From: Improving the diagnosis of acute ischemic stroke on non-contrast CT using deep learning: a multicenter studyOverview of the proposed DL model for lesion segmentation and ASPECTS scoring. This model included five key procedures of detail enhancement, mirror assembly module, DCNN model, linear registration and ASPECTS scoring module. The model generated two types of data: ischemic lesion segmentation and region-based ASPECTSBack to article page