Marine predators algorithm (MPA) is a recently proposed metaheuristic algorithm that
mimics the marine predators behavior when attacking their preys. Recently, the MPA has …

In healthcare, medical practitioners employ various imaging techniques such as CT, X-ray,
PET, and MRI to diagnose patients, emphasizing the crucial need for early disease detection …

Abstract The Segment Anything Model (SAM) is a recently developed large model for
general-purpose segmentation for computer vision tasks. SAM was trained using 11 million …

Medical image fusion has brought practical applications in clinical diagnosis. However,
image fusion methods still face challenges because of problems with the quality of the input …

Medical image fusion is the process of combining information from multiple medical images
of the same body region acquired using different imaging modalities, such as computed …

Alzheimer's disease (AD) is a type of neurological disorder and is a most frequent cause of
dementia across the world. The area of medical imaging has created an advancement in …

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 …

Abstract Background and Objective The Poisson noise is added to the image during the
acquisition of medical X-Ray images. The distorted image due to this noise makes it difficult …

Abstract The Segment Anything Model (SAM) is a large-scale model developed for general
segmentation tasks in computer vision. Trained on a substantial dataset, SAM can …

Synthesis of medical images is one of the indispensable tasks today because of its
applications in clinical diagnosis. Composite images often suffer from problems such as …