Sora is a text-to-video generative AI model, released by OpenAI in February 2024. The
model is trained to generate videos of realistic or imaginative scenes from text instructions …

In recent years generative models have been very popular in medical imaging applications
because they generate realistic-looking synthetic images which is crucial for the medical …

Medical image segmentation is a critical task that plays a vital role in diagnosis, treatment
planning, and disease monitoring. Accurate segmentation of anatomical structures and …

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

Medical image segmentation faces challenges because of the small sample size of the
dataset and the fact that images often have noise and artifacts. In recent years, diffusion …

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 …

Initially designed for image generation, diffusion models can also be effectively applied to
various tasks, including semantic segmentation. However, most existing diffusion-based …

As a result of the rise of Transformer architectures in medical image analysis, specifically in
the domain of medical image segmentation, a multitude of hybrid models have been created …

Recently, the Diffusion Probabilistic Model (DPM)-based methods have achieved substantial
success in the field of medical image segmentation. However, most of these methods fail to …

Recently, Denoising Diffusion Probabilistic Models have been widely used in image
segmentation, by generating segmentation masks conditioned on the input image. However …