This scientific review presents a comprehensive overview of medical imaging modalities and
their diverse applications in artificial intelligence (AI)-based disease classification and …

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 …

The current research work presents development of an artificial neural network (ANN)-based
model for predicting linear wear depth using wearing parameters, non-dimensional contact …

Oral nutrition interventions are commonly applied as an assistant therapeutic approach,
which could affect the balance of the immunological response but with mixed evidence. The …

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 …

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 …

The distinction and precise identification of tumor nodules are crucial for timely lung cancer
diagnosis and planning intervention. This research work addresses the major issues …

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 …