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 …

Explainable artificial intelligence (XAI) aims to offer machine learning (ML) methods that
enable people to comprehend, properly trust, and create more explainable models. In …

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 …

Brain tumor segmentation has been a challenging and popular research problem in the area
of medical imaging and computer-aided diagnosis. In the last few years, especially since …

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 …

Brain tumors, often referred to as intracranial tumors, are abnormal tissue masses that arise
from rapidly multiplying cells. During medical imaging, it is essential to separate brain …

Brain tumor segmentation (BTS) from magnetic resonance imaging (MRI) scans is crucial for
the diagnosis, treatment planning, and monitoring of therapeutic results. Thus, this research …

Stroke is one of the most prevalent diseases that cause long-term disability and mortality
worldwide. Precisely detecting stroke lesions is crucial to diagnosing disease and planning …

Magnetic resonance imaging is an essential tool for the early diagnosis of brain tumors.
However, it is challenging for the segmentation of the brain tumor of magnetic resonance …

Accurate identification and segmentation of brain tumors from multimodal MRI images is
essential for making treatment decisions and planning surgeries. However, the complexity …