Simple Summary Artificial intelligence (AI) has seamlessly integrated into the medical field,
especially in diagnostic imaging, thanks to ongoing AI advancements. It is widely used in …

A tumor is a life-threatening disease that refers to the abnormal growth of cells in any part of
the human body. Early detection of this abnormality not only helps with appropriate …

Significant yield challenges are posed by biotic stress on coffee leaves, which has a
negative effect on the revenue generation of this highly utilized commodity. Numerous …

Ensemble multifeatured deep learning methodology has emerged as a powerful approach
to overcome the limitations of single deep learning models in terms of generalization …

This paper presents a novel framework for breast cancer detection using mammogram
images. The proposed solution aims to output an explainable classification from a …

This research intends to provide a method for clinical decision support systems that can
accurately classify benign and malignant mass from breast X-ray images. The model was …

The development of methods based on artificial intelligence for the classification of medical
imaging is widespread. Given the high dimensionality of this type of images, it is imperative …

Lung cancer is one of the terrible diseases in various countries around the globe, and timely
detection of the illness is still a challenging process. The oncologists consider the blood test …

Liver cancer is a major cause of death, with a high mortality rate worldwide. For better
treatment and rehabilitation of liver cancer, assessing and evaluating drug delivery and …

Greece is among the European Union members topping the list of deaths related to coronary
artery disease. Myocardial Perfusion Imaging (MPI) with Single-Photon Emission Computed …