چکیده مقاله
Rheumatoid arthritis RA is an autoimmune disease that leads to joint deformity and permanent disability In this research, a deep learning method is proposed for the automatic detection of joints on the radiographic images of the hands of RA patients The proposed BYOLO model uses the backtracking search algorithm BSA to tune the optimal values for the hyper parameters of the YOLO Five fold cross validation is used to evaluate the performance of system A dataset containing hand images of 200 patients has been used to evaluate the proposed model The results obtained based on performance criteria such as accuracy and error rate show that the proposed model is promising in diagnosing joints in radiographic images
کلیدواژهها
نویسندگان
Hojjat Emami
Department of Computer Engineering, University of Bonab
شیوه ارجاع
Emami, Hojjat,1402,A deep learning model for joint detection in radiographic images of rheumatoid arthritis,5th International Conference on Software Computing,Rudsar
ارائهشده در
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