Multimodal medical image fusion consists in combining two or more images of the same or
different modalities aiming to improve the image content, and preserve information. The …

Recent research has reported the application of image fusion technologies in medical
images in a wide range of aspects, such as in the diagnosis of brain diseases, the detection …

Nowadays medical images are captured through various imaging modalities for clinical
diagnosis. It is more complicated to process the images modality wise to obtain feature …

An accurate and early diagnosis of brain tumors based on medical imaging modalities is of
great interest because brain tumors are a harmful threat to a person's health worldwide …

In this chapter, different types of image fusion techniques have been studied and evaluated
in the medical applications. The ultimate goal of this proposed method is to obtain the fused …

This paper proposes a Rician noise reduction method for magnetic resonance (MR) images.
The proposed method is based on adaptive non-local mean and guided image filtering …

The extensive use of medical imaging has become a regular practice in modern medical
health care centers. It is used almost in every stage of patient management system …

With the advancement of technology, different imaging models and multimedia content in
medical science have been increasingly used for diagnosis, treatment, and education. In …

Image fusion is the process of combining two or more images to form a single fused image,
which can provide more reliable and accurate information. Over the last few decades …

Multimodality medical image fusion outweighs the shortcomings of individual imaging
modalities and provides a comprehensive image consisting of key diagnostic information …