In general, the amount of information present in biomedical images is more and it is a very challenging task to handle these kinds of images in wireless communication. Image retrieval is one of the ...

The watershed segmentation algorithm has the problem of over-segmentation. The paper proposed an improved watershed algorithm for medical images segmentation. Combined with improved gray morphological ...

Tiny brain tumors often hide in plain sight—sometimes no bigger than a grain of rice. These metastases, or secondary cancers ...

The field of neuroimaging has experienced a remarkable revolution with the advent of machine learning algorithms. Brain imaging techniques such as magnetic resonance imaging (MRI), functional MRI ...

Magnetic resonance imaging (MRI) scans produce detailed images of the organs and tissues in the body. Learn more about its uses here.

Background Intracranial aneurysms (IAs) are common in the population and may cause death. Objective To develop a new fully automated detection and segmentation deep neural network based framework to ...