This scientific review presents a comprehensive overview of medical imaging modalities and
their diverse applications in artificial intelligence (AI)-based disease classification and …

Abstract In recent years, Machine Learning approaches (ML) have shown promising results
in addressing many tasks in medical image analysis. In particular, the analysis of Bone …

Segmentation of clavicles and ribs in chest X-rays is significant for diagnosing lung
diseases. However, it is challenging to segment ribs because of the low contrast on chest X …

The heart's mitral valve is the valve that separates the chambers of the heart between the left
atrium and left ventricle. Heart valve disease is a fairly common heart disease, and one type …

Speckle noise and intensity inhomogeneity are always challenging issues in the area of
image segmentation, especially when both difficulties appear simultaneously …

Seismic reflection is one of the most widely used geophysical methods in the oil and gas
(O&G) industry for hydrocarbon prospecting. In particular, for some Brazilian onshore fields …

Medical imaging technology has played a vital role in modern medicine and medical care.
Cardiovascular imaging and computing technology are essential for diagnosing and treating …

Image segmentation is a crucial process in the field of computer vision, and deformable
models for image segmentation have demonstrated remarkable efficacy among various …

Pancreas segmentation has great significance in computer‐aided diagnosis of pancreatic
diseases. The small size of the pancreas, high variability in shape, and blurred edges make …

O diagnóstico de câncer de mama por meio de ultrassom é desafiador devido à
complexidade das imagens e à variação nas características. O objetivo deste trabalho é …