Complex-valued neural networks (CVNNs) have shown their excellent efficiency compared
to their real counter-parts in speech enhancement, image and signal processing …

With its origins in the mid-to late-1900s, today, artificial intelligence (AI) is used in a wide
range of medical fields for varying purposes. This review first covers the early work …

Breast cancer is the most leading cancer occurring in women and is a significant factor in
female mortality. Early diagnosis of breast cancer with Artificial Intelligent (AI) developments …

In recent years, improved deep learning techniques have been applied to biomedical image
processing for the classification and segmentation of different tumors based on magnetic …

Histopathological whole slide images of haematoxylin and eosin (H&E)-stained biopsies
contain valuable information with relation to cancer disease and its clinical outcomes. Still …

Breast cancer is one of the most widely recognized diseases after skin cancer. Though it can
occur in all kinds of people, it is undeniably more common in women. Several analytical …

Purpose Artificial intelligence (AI) plays a substantial role in many domains, including
medical fields. However, we still lack evidence to support whether or not cancer patients will …

Purpose COVID-19 causes lung inflammation and lesions, and chest X-ray and computed
tomography images are remarkably suitable for differentiating the new disease from patients …

In recent years, digital pathology, computational storage and computing capabilities have
been evolved rapidly. Computer software provides a possibility to automatically identify …

Early diagnosis and treatment are the most important strategies to prevent deaths from
several diseases. In this regard, data mining and machine learning techniques have been …