The convergence of artificial intelligence (AI) and precision medicine promises to
revolutionize health care. Precision medicine methods identify phenotypes of patients with …

Liver diseases, a wide spectrum of pathologies from inflammation to neoplasm, have
become an increasingly significant health problem worldwide. Noninvasive imaging plays a …

Background: Early-stage diagnosis and treatment can improve survival rates of liver cancer
patients. Dynamic contrast-enhanced MRI provides the most comprehensive information for …

The computer-based approach is required for the non-invasive detection of chronic liver
diseases that are asymptomatic, progressive, and potentially fatal in nature. In this study, we …

Image classification plays an important role in computer vision. The existing convolutional
neural network methods have some problems during image classification process, such as …

MRI image analysis and its segmentation for the accurate and automatic detection of brain
tumors at an early stage is very much crucial for diagnosis the disorders and save human …

Liver cancer is one of the world's largest causes of death to humans. It is a difficult task and
time consuming to identify the cancer tissue manually in the present scenario. The …

Clinical imaging (eg, magnetic resonance imaging and computed tomography) is a crucial
adjunct for clinicians, aiding in the diagnosis of diseases and planning of appropriate …

Cancer is a complicated global health concern with a significant fatality rate. Breast cancer is
among the leading causes of mortality each year. Advancements in prognoses have been …

BACKGROUND Artificial intelligence, such as convolutional neural networks (CNNs), has
been used in the interpretation of images and the diagnosis of hepatocellular cancer (HCC) …