Liver-related diseases significantly contribute to global mortality rates. Accurate
segmentation of liver disease from CT scans is essential for early diagnosis and treatment …

Medical image segmentation is crucial in using digital images for disease diagnosis,
particularly in post-processing tasks such as analysis and disease identification …

Bald Eagle Search (BES) is a recent and highly successful swarm-based metaheuristic
algorithm inspired by the hunting strategy of bald eagles in capturing prey. With its …

Brain tumor is the 10th major cause of death among humans. The detection of brain tumor is
a significant process in the medical field. Therefore, the objective of this research work is to …

Cloud computing has gained widespread recognition for facilitating myriad online services
and applications. However, the current stages of commercial cloud computing employ a …

Image segmentation plays a pivotal role in medical image analysis, particularly for
accurately isolating tumors and lesions. Effective segmentation improves diagnostic …

In neuro-oncology, the precise segmentation of brain tumors from Magnetic Resonance
Images is crucial for diagnosis, treatment planning, and monitoring disease progression …

To meet the needs of automated medical analysis of brain tumor magnetic resonance
imaging, this study introduces an enhanced instance segmentation method built upon mask …

Addressing the profound impact of Tapping Panel Dryness (TPD) on yield and quality in the
global rubber industry, this study introduces a cutting-edge Otsu threshold segmentation …

Skin cancer stands as the most widespread form of cancer globally, and early detection
significantly enhances its treatability. Even though deep learning techniques have greatly …