The COVID-19 pandemic that began in 2019 has resulted in millions of deaths worldwide.
Over this period, the economic and healthcare consequences of COVID-19 infection in …

Late gadolinium enhancement magnetic resonance imaging (LGE MRI) is commonly used
to visualize and quantify left atrial (LA) scars. The position and extent of LA scars provide …

Over the past decade, convolutional neural networks (CNN) have shown very competitive
performance in medical image analysis tasks, such as disease classification, tumor …

New technologies are transforming medicine, and this revolution starts with data. Health
data, clinical images, genome sequences, data on prescribed therapies and results …

An outbreak of a novel coronavirus disease (ie, COVID-19) has been recorded in Wuhan,
China since late December 2019, which subsequently became pandemic around the world …

Segmentation of medical images, particularly late gadolinium-enhanced magnetic
resonance imaging (LGE-MRI) used for visualizing diseased atrial structures, is a crucial first …

In the present era, human brain tumor is the extremist dangerous and devil to the human
being that leads to certain death. Furthermore, the brain tumor arises more complexity of …

More than half of brain tumors are malignant tumors, so there is a need for fast and accurate
segmentation of tumor regions in brain Magnetic Resonance Imaging (MRI) images …

The brain tumor is the deadliest disease in adults as it arises due to an abnormal mass of
cells that grows rapidly and it alters the proper functioning of the organs. In clinical practice …

Automated and accurate segmentations of left atrium (LA) and atrial scars from late
gadolinium-enhanced cardiac magnetic resonance (LGE CMR) images are in high demand …