A survey on brain tumor detection in medical image processing

Biomedical Image Processing is a dynamic and essential field encompassing various imaging modalities such as CT scans, X-rays, and MRI. These modalities play a crucial role in detecting subtle abnormalities within the human body. The primary objective of medical imaging is to derive accurate and meaningful information from these images while minimizing errors. Among the available imaging techniques, MRI stands out as a reliable and safe option, avoiding harmful radiation exposure. This paper focuses on the process of brain tumor detection using MRI, categorizing it into four key stages: Preprocessing, Segmentation, Optimization, and Feature Extraction. The survey consolidates insights from diverse research efforts, emphasizing the significance of each stage in the overall detection process. The compilation of research findings by various professionals provides a comprehensive overview of current methodologies, advancements, and challenges in brain tumor detection from MRI images. This survey aims to serve as a valuable resource for researchers and practitioners in the field of biomedical image processing.