As a mainstream research direction in the field of image segmentation, medical image
segmentation plays a key role in the quantification of lesions, three-dimensional …

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 …

Urban tree monitoring yields significant benefits to the environment and human society.
Several aspects are essential to ensure the good condition of the trees and eventually …

Kidney tumor segmentation from MR images became a pivotal research area in kidney
cancer diagnosis and treatment planning. Accurate and efficient segmentation enables …

Segmenting tumor in the brain is a challenging process undertaken by the surgeon to
assess and locate the tumor location in the MRI images. To overcome this constraint, an …

Early detection of knee osteoarthritis is crucial because the damage in the knee joint is
irreversible at the advanced stage. Medical images such as Magnetic Resonance Imaging …

Finding and classifying brain tumors are important parts of medical image analysis that need
advanced deep-learning methods and optimization algorithms. Recognizing the urgent …

In brain research, brain tissue segmentation techniques have offered vast aid and
possibilities for quantitative analysis of the brain to detect brain tumor and other brain issues …