In recent years, denoising diffusion models have achieved remarkable success in
generating pixel-level representations with semantic values for image generation modeling …

Biomedical image segmentation plays a pivotal role in medical imaging, facilitating precise
identification and delineation of anatomical structures and abnormalities. This review …

Foundation models (FMs) are large-scale deep-learning models trained on extensive
datasets using self-supervised techniques. These models serve as a base for various …

Medical image segmentation aims to locate lesions within a given image to assist doctors in
diagnosis and treatment, playing a crucial role in improving patient outcomes. Recently, the …

Medical image analysis is essential in healthcare, guiding diagnosis, treatment, and
monitoring. This study presents AACNet (Advanced Attention Capsule Network), a deep …