Abstract:The objective of this study is to develop a computer-aided diagnosis (CADx) system for successful ultrasound-guided supraclavicular block (SCB). The retrospectively collected ultrasound videos were from 800 patients to develop the CADx system (600 to the training and validation set, and two test sets of 100 each). The proposed method consists of classification and segmentation approaches using convolutional neural networks (CNN). As for the classification method, a ResNet-based model using augmentation techniq… Show more
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