Brain tumor segmentation from MRIs has always been a challenging task for radiologists,
therefore, an automatic and generalized system to address this task is needed. Among all …

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 …

Cancer of the brain is deadly and requires careful surgical segmentation. The brain tumors
were segmented using U-Net using a Convolutional Neural Network (CNN). When looking …

Brain tumors can be difficult to diagnose, as they may have similar radiographic
characteristics, and a thorough examination may take a considerable amount of time. To …

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 …

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 …

An accurate and efficient automatic brain tumor segmentation algorithm is important for
clinical practice. In recent years, there has been much interest in automatic segmentation …

Brain tumor segmentation from Magnetic Resonance Imaging is essential for early diagnosis
and treatment planning for brain cancers in clinical practice. However, existing brain tumor …

Road segmentation is beneficial to build a vision-controllable mission-oriented self-driving
bot, eg, the Self-Driving Sweeping Bot, or SDSB, for working in restricted areas. Using road …

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 …