https://www.selleckchem.com/pr....oducts/dt-061-smap.h
Modified MobileNetV2 and EfficientNet-B0 models achieved 96% (κ 0.92) and 93% (κ 0.86) accuracy in stroke detection, respectively. In vascular territorial classification of stroke as middle cerebral artery, posterior circulation, or watershed infarction, an accuracy of 93% (κ 0.895) was achieved with modified MobileNetV2 model and 87% (κ 0.805) with modified EfficientNet-B0 CNN model. Transfer learning approach with custom top CNN models achieve sufficiently high performance for both the detection of ischemic stroke and the classifi
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