To eliminate unnecessary background information, such as soft tissues in original CT images and the adverse impact of similarity adjacent spines on lumbar image segmentation surgical path planning, a two-stage approach for localising segments is proposed. First, based multi-scale feature fusion technology, non-linear regression method used to achieve accurate localisation overall spatial region...

electroencephalogram (eeg) is one of the useful biological signals to distinguish different brain diseases and mental states. in recent years, detecting different emotional states from biological signals has been merged more attention by researchers and several feature extraction methods and classifiers are suggested to recognize emotions from eeg signals. in this research, we introduce an emot...