The synthesis of medical images plays a pivotal role in image-based disease diagnosis. In
recent years, numerous medical image synthesis methods have been proposed …

Full-field optical angiography (FFOA) has considerable potential for clinical applications in
the prevention and diagnosis of various diseases. However, owing to the limited depth of …

The classification of medical images is crucial in the biomedical field, and despite attempts
to address the issue, significant challenges persist. To effectively categorize medical …

With the rapid development of medical imaging methods, multimodal medical image fusion
techniques have caught the interest of researchers. The aim is to preserve information from …

Due to the rapid growth of imaging modalities in clinical analysis and the indispensable
requirement of brain images from various imaging modalities for diagnosing a disease, multi …

Full-field optical angiography (FFOA)—a real-time non-invasive imaging technique for
extracting biological blood microcirculation information—contributes to an in-depth …

This study proposes a novel multi-stage multimodal image fusion approach for consolidating
information from images into single scene by leveraging the efficiencies of newly designed …

Image fusion due to its cost-effectiveness and applicability in a broader range of applications
makes it an emerging area in research. However, it is seen from the literature that most of …

This paper proposes a multi-modal fusion algorithm for image filtering based on the
guidance of local extrema maps. The image is subjected to a smoothing process using a …

Small electronic parts counting in the physics laboratory is a challenging task. These small
objects such as resistors, capacitors, and inductors are used in physics laboratories and …