Aim: This research aims to determine the presence of breast cancer using Machine learning
techniques and improving the accuracy of breast cancer prediction. Materials and Methods …

Objective This study aimed to evaluate the fracture strength of teeth restored using fiber-
reinforced direct restorative materials after endodontic treatment with a conservative mesio …

Aim: To achieve accuracy, sensitivity, and precision in AI tificial calculations for the
prediction of diabetes among pregnant women, a Support Vector Machine and Random …

This study applied the finite element method (FEM) and the moiré strip projection method to
evaluate the biomechanical behavior of healthy and endodontic-treated premolar teeth. The …

Objective. The effect of the concept of enhanced recovery after surgery (ERAS) and pain of
patients undergoing root canal therapy in oral clinic. Methods. 200 participants in an oral …

Aim: The purpose of this study is to use median filters and wiener filters to minimize noise in
liver images in order to improve them. In addition, the output of both filters was analyzed …

Aim: The aim of this study is to propose smart edge detection techniques in x-ray images for
improving PSNR using the sobel edge detection algorithm and comparing it with the …

Objective: To evaluate the 24-month clinical performance of composite resin restorations
with and without polyethylene fiber in the first permanent molars of pediatric patients with …

Aim: The aim of this study is to propose smart edge detection techniques in x-ray images for
improving PSNR using canny edge detection algorithm and compared with laplacian …

Aim: Identification of acral melanoma using genetic algorithm compared with convolutional
neural network CNN using dermoscopic images. Materials and Methods: The study was …