Multi-modal medical image fusion (MMIF) integrates medical images of different modalities
into an image with rich information to boost the accuracy and efficiency of clinical diagnosis …

Multi-modal medical image fusion provides comprehensive and objective descriptions of
lesions for clinical medical assistance. However, retaining useful information while …

With the expansion of IOTs and Wireless devices, data transmission has increased over the
internet. Maintaining security during data transmission using invisible watermarks has …

Satellite image water body identification is an important part of scientific progress. Because
of factors such as aquatic vegetation, the unique lake or river hues, sediments along the …

Quantitative evaluation of vitiligo is crucial for assessing treatment response. Dermatologists
evaluate vitiligo regularly to adjust their treatment plans, which requires extra work …

In healthcare, a fusion of multi-modal medical images is very difficult and also an important
work for the planning of surgical concepts and the diagnosis of precision. The findings of …

Purpose This paper aims to critically evaluate the role of advanced artificial intelligence (AI)-
enhanced image fusion techniques in lung cancer diagnostics within the context of AI-driven …

In order to better preserve the anatomical structure information of Computed Tomography
(CT) source images and highlight the metabolic information of lesion regions in Positron …

Abstract Background and Objective To address the key feature extraction problem in glioma
image fusion due to blurred edge and texture features, with certain exclusive features …

Cerebral infarction is a common neurological disease with high rates of morbidity, mortality,
and recurrence, posing a great threat to human life and health. Cerebral infarction is the …