The medicine and healthcare sector has been evolving and advancing very fast. The
advancement has been initiated and shaped by the applications of data-driven, robust, and …

Federated learning (FL) refers to a system in which a central aggregator coordinates the
efforts of several clients to solve the issues of machine learning. This setting allows the …

Breast cancer is a common cancer in women. Early detection of breast cancer in particular
and cancer, in general, can considerably increase the survival rate of women, and it can be …

Breast cancer is type of tumor that occurs in the tissues of the breast. It is most common type
of cancer found in women around the world and it is among the leading causes of deaths in …

Breast cancer continues to be one of the foremost illnesses that results in the deaths of
numerous women each year. Among the female population, approximately 8% are …

Breast cancer is a common fatal disease for women. Early diagnosis and detection is
necessary in order to improve the prognosis of breast cancer affected people. For predicting …

The outbreak of novel coronavirus disease (COVID-19) has claimed millions of lives and has
affected all aspects of human life. This paper focuses on the application of deep learning …

This paper focuses on the application of deep learning (DL) in the diagnosis of coronavirus
disease (COVID-19). The novelty of this work is in the introduction of optimized …

Image registration is a critical component in the applications of various medical image
analyses. In recent years, there has been a tremendous surge in the development of deep …

Diagnosing and predicting the outcome of cardiovascular disease are essential tasks in
medicine that help ensure patients receive accurate classification and treatment from …