Objective This study aimed to explore a novel method that integrates the segmentation guidance classification and the dif-fusion model augmentation to realize the automatic classification for tibial plateau fractures(...Objective This study aimed to explore a novel method that integrates the segmentation guidance classification and the dif-fusion model augmentation to realize the automatic classification for tibial plateau fractures(TPFs).Methods YOLOv8n-cls was used to construct a baseline model on the data of 3781 patients from the Orthopedic Trauma Center of Wuhan Union Hospital.Additionally,a segmentation-guided classification approach was proposed.To enhance the dataset,a diffusion model was further demonstrated for data augmentation.Results The novel method that integrated the segmentation-guided classification and diffusion model augmentation sig-nificantly improved the accuracy and robustness of fracture classification.The average accuracy of classification for TPFs rose from 0.844 to 0.896.The comprehensive performance of the dual-stream model was also significantly enhanced after many rounds of training,with both the macro-area under the curve(AUC)and the micro-AUC increasing from 0.94 to 0.97.By utilizing diffusion model augmentation and segmentation map integration,the model demonstrated superior efficacy in identifying SchatzkerⅠ,achieving an accuracy of 0.880.It yielded an accuracy of 0.898 for SchatzkerⅡandⅢand 0.913 for SchatzkerⅣ;for SchatzkerⅤandⅥ,the accuracy was 0.887;and for intercondylar ridge fracture,the accuracy was 0.923.Conclusion The dual-stream attention-based classification network,which has been verified by many experiments,exhibited great potential in predicting the classification of TPFs.This method facilitates automatic TPF assessment and may assist surgeons in the rapid formulation of surgical plans.展开更多
Ocean current energy is a promising and reliable resource that offers sustainability and predictability in realizing green future needs.A diffuser-augmented horizontal-axis turbine is utilized to generate ocean curren...Ocean current energy is a promising and reliable resource that offers sustainability and predictability in realizing green future needs.A diffuser-augmented horizontal-axis turbine is utilized to generate ocean current energy.A numerical study on the impact of diffuser angle variations on the power coefficient has been carried out in the previous research.To elucidate the fluid dynamics aspects and further validation of previous computational results,the experimental investigation on the optimal design of tidal turbine with 20.04°diffuser augmentation is presented in this study.The study was conducted in a flowing tank with a current velocity of 0.7 m/s.The maximum power coefficient of 20.04°is 0.436 experimentally,which is a little smaller than the numerical value.Moreover,to reinforce the 20.04°result,a diffuser with an angle of 10.43°was also manufactured and tested experimentally.The maximum power coefficient of 10.43°is 0.303 experimentally,which is 3%smaller than the numerical value.It was concluded that the numerical approach might be considered satisfactory and represent similar phenomena to the experimental investigation in an application for modelling of multi-objective optimization.展开更多
基金supported by the National Natural Science Foundation of China(Nos.81974355 and 82172524)Key Research and Development Program of Hubei Province(No.2021BEA161)+2 种基金National Innovation Platform Development Program(No.2020021105012440)Open Project Funding of the Hubei Key Laboratory of Big Data Intelligent Analysis and Application,Hubei University(No.2024BDIAA03)Free Innovation Preliminary Research Fund of Wuhan Union Hospital(No.2024XHYN047).
文摘Objective This study aimed to explore a novel method that integrates the segmentation guidance classification and the dif-fusion model augmentation to realize the automatic classification for tibial plateau fractures(TPFs).Methods YOLOv8n-cls was used to construct a baseline model on the data of 3781 patients from the Orthopedic Trauma Center of Wuhan Union Hospital.Additionally,a segmentation-guided classification approach was proposed.To enhance the dataset,a diffusion model was further demonstrated for data augmentation.Results The novel method that integrated the segmentation-guided classification and diffusion model augmentation sig-nificantly improved the accuracy and robustness of fracture classification.The average accuracy of classification for TPFs rose from 0.844 to 0.896.The comprehensive performance of the dual-stream model was also significantly enhanced after many rounds of training,with both the macro-area under the curve(AUC)and the micro-AUC increasing from 0.94 to 0.97.By utilizing diffusion model augmentation and segmentation map integration,the model demonstrated superior efficacy in identifying SchatzkerⅠ,achieving an accuracy of 0.880.It yielded an accuracy of 0.898 for SchatzkerⅡandⅢand 0.913 for SchatzkerⅣ;for SchatzkerⅤandⅥ,the accuracy was 0.887;and for intercondylar ridge fracture,the accuracy was 0.923.Conclusion The dual-stream attention-based classification network,which has been verified by many experiments,exhibited great potential in predicting the classification of TPFs.This method facilitates automatic TPF assessment and may assist surgeons in the rapid formulation of surgical plans.
基金This research was funded by Kementerian Riset dan Teknologi/Badan Riset dan Inovasi Nasional(Kemenristek/BRIN)through Publikasi Dasar Unggul Perguruan Tinggi(PDUPT)grant program,grant number NKB-197/UN2.RST/HKP.05.00/2021.
文摘Ocean current energy is a promising and reliable resource that offers sustainability and predictability in realizing green future needs.A diffuser-augmented horizontal-axis turbine is utilized to generate ocean current energy.A numerical study on the impact of diffuser angle variations on the power coefficient has been carried out in the previous research.To elucidate the fluid dynamics aspects and further validation of previous computational results,the experimental investigation on the optimal design of tidal turbine with 20.04°diffuser augmentation is presented in this study.The study was conducted in a flowing tank with a current velocity of 0.7 m/s.The maximum power coefficient of 20.04°is 0.436 experimentally,which is a little smaller than the numerical value.Moreover,to reinforce the 20.04°result,a diffuser with an angle of 10.43°was also manufactured and tested experimentally.The maximum power coefficient of 10.43°is 0.303 experimentally,which is 3%smaller than the numerical value.It was concluded that the numerical approach might be considered satisfactory and represent similar phenomena to the experimental investigation in an application for modelling of multi-objective optimization.
