Brain tumors, whether cancerous or noncancerous, can be life-threatening due to abnormal
cell growth, potentially causing organ dysfunction and mortality in adults. Brain tumor …

The escalating incidence of accurate detection of brain tumors within the discipline of neuro-
oncology underscores the pressing demand for enhanced diagnostic methodologies. The …

The landscape of medical imaging, particularly in brain tumor analysis and survival
prediction, necessitates advancements due to the inherent complexities and life-threatening …

The ever-changing topology in mobile ad hoc networks (MANETs) makes routing a
formidable obstacle. The infrastructure-independent capabilities of MANET ensure the …

Deep learning-based image processing methods for medical brain tumors are current
research hotspots in this field. However, a great deal of research has focused on how to …

Early diagnosis and proper grouping of tumors in the brain are critical for successful therapy
and positive outcomes for patients. This work proposes a complete technique for identifying …

Tumors present in brain remains a significant global health issue, affecting millions annually
and presenting various diagnostic and therapeutic challenges. These tumors originate from …

Detection of brain tumors is a crucial aspect of processing biomedical images. These tumors
are one of the prime reasons for death and disability, and effective treatment requires early …

The ability to segment brain tumors from MRI images is essential for enhancing prognosis,
treatment planning, and diagnosis. Manual segmentation is labor-intensive and varies …

Recently, there has been a notable growth in the utilization of diverse magnetic resonance
imaging (MRI) techniques for examining brain tissue. However, the manual examination of …