| Abstrakt: |
Researchers from the Computer Science Department have conducted a systematic survey on the use of fuzzy computer vision techniques in biomedical research, focusing on methodologies, applications, and challenges. The study highlights the collaborative potential of deep learning and fuzzy logic in areas such as dental image analysis and brain tumor detection. Despite advancements, challenges like model interpretability and scalability remain, with the research proposing future directions for advancing biomedical research through fuzzy computer vision. [Extracted from the article] |
