Image segmentation, a crucial process of dividing images into distinct parts or objects, has
witnessed remarkable advancements with the emergence of deep learning (DL) techniques …

Accurate segmentation of brain tumor plays an important role in MRI diagnosis and
treatment monitoring of brain tumor. However, the degree of lesions in each patient's brain …

Segmentation of brain tumors is of great importance for patients in clinical diagnosis and
treatment. For this reason, experts try to identify border regions of special importance using …

The number of brain tumor cases has increased in recent years. Therefore, accurate
diagnosis and treatment of brain tumors are extremely important. Accurate detection of tumor …

The brain is a complex organ of the body. Any abnormality in brain cells can affect the
function of the human body. Brain space-occupying lesions include tumors, abscesses, and …

Influenced by ChatGPT, artificial intelligence (AI) large models have witnessed a global
upsurge in large model research and development. As people enjoy the convenience by this …

Accurate classification and segmentation of brain tumors is a critical task to perform. The
term classification is the process of grading tumors ie, whether the tumor is Malignant …

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

The symmetrical segmentation of brain tumor images is crucial for both clinical diagnosis
and computer-aided prognosis. Traditional manual methods are not only asymmetrical in …

Abstract In recent years, Machine Learning approaches (ML) have shown promising results
in addressing many tasks in medical image analysis. In particular, the analysis of Bone …