Image Fusion is the methodology to combining multiple images resulting in a single image
kee** all the necessary aspects and features of original image with extended information …

Disease diagnosis is the most critical health-care function. If an illness is diagnosed before
the normal or planned period it can save people's lives. Classification method of machine …

In order to get around the inherent constraints of distinct imaging modalities, multimodal
fusion in neuroimaging integrates data from various imaging modalities. Higher temporal …

Medical imaging methods using multiple modalities are used more frequently in both clinical
settings and academic studies. The use of ensemble learning and associated multimodal …

Face recognition is the most advanced way of authentication and authorization and it has
been developed a lot since the last decade and such systems are now popular in fields such …

Wavelet transformation is one of the most frequent procedures for data denoising,
smoothing, decomposition, features extraction, and further related tasks. In order to perform …

Multimodal medical image fusion is the efficient integration of various imaging modalities to
improve the ability to assess, direct therapy, treat patients, or predict outcomes. As image …

The growing multimodality of biomedical data is uncovering the intricate relationships
between biological processes that are hidden from view. Most of the time, these non‐linear …

In the realm of healthcare, information technology has indeed been extensively employed
and evolved, and it has formed a significant role in the advancement of healthcare treatment …

The fight during pandemic has been very difficult, and the only effective prevention was to
maintain Social Distancing. Maintaining social distancing allowed the disease to spread at a …