Background Intra‐scan rigid‐body motion is a costly and ubiquitous problem in clinical
magnetic resonance imaging (MRI) of the head. Purpose State‐of‐the‐art methods for …

The electrocardiogram (ECG) is a graphical representation of the heart's electrical activity
generated by contraction and relaxation of the heart muscle. An ECG is a vital tool for …

High-resolution pathological images play a pivotal role in accurate disease diagnosis and
are important in precision medicine. However, obtaining real-time high-resolution images …

The primary objective of this research is to enhance the accuracy of identifying cardiac
conditions through machine learning applied to medical images. To achieve this goal, a …

Medical images contain data related to the diseases and it should be interpreted accurately.
However, its visual interpretation is quite complex/timeconsuming and only medical experts …

Right now, heart illness is the driving cause of passing around the world and its frequency is
on the rise. To precisely analyze heart illness in its early stages some time recently a heart …

Cardiovascular imaging techniques, including echocardiography, cardiac computed
tomography angiography (CCTA), cardiac magnetic resonance (CMR), and nuclide cardiac …

To prevent fatal heart failure early detection of Heart attack is essential steps. Heart Disease
prediction happened well in advance using Machine learning, Artificial algorithms in …

Abstract Magnetic Resonance Imaging (MRI) is a tomographic imaging technique using the
principles of nuclear magnetism of mostly the 1 H nuclei, which are largely contained in the …

The categorization of bone metastases into osteoblastic/osteolytic can be clinically important
for several reasons, including the assessment of therapy response, fracture risk, or to …