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 …

With the accelerated development of medical imaging equipment and techniques, image
fusion technology has been effectively applied for diagnosis, biopsy and radiofrequency …

Recently, deep learning has been shown effectiveness in multimodal image fusion. In this
paper, we propose a fusion method for CT and MR medical images based on convolutional …

The classification of medical images is a pivotal aspect of disease diagnosis, often
enhanced by deep learning techniques. However, traditional approaches typically focus on …

Recent rapid deployment of imaging technologies and improvement of computational power
allow us to process different data that are collected from various sensing modalities …

Within the application of driving assistance systems, the detection of driver's facial features
in the cab for a spectrum of luminosities is mission critical. One method that addresses this …

Multimodality image fusion has been shown to be effective in a variety of therapeutic settings
where clinicians require image support. Several medical computer-assisted diagnosis …