S. Anu Priya
Papers
1
Total Citations
2
H-Index
1
About
S. Anu Priya is a researcher specializing in medical image processing, with a particular focus on multimodal brain tumor image fusion. Her work leverages advanced wavelet and contourlet transformations to enhance the diagnostic quality of medical imaging, enabling more precise tumor detection and analysis. Her most-cited paper, "Multimodality Brain Tumor Image Fusion Using Wavelet and Contourlet Transformation" (2023), has garnered 2 citations, reflecting its emerging relevance in the field. This contribution addresses the critical challenge of integrating data from different imaging modalities—such as MRI and CT—to create a single, information-rich image that improves clinical decision-making. By combining the strengths of wavelet and contourlet techniques, Anu Priya’s research offers a robust framework for preserving both edge details and texture features, which is vital for accurate tumor characterization. Her work holds promise for advancing computer-aided diagnosis systems, particularly in neuro-oncology. As an active researcher, she continues to explore innovative fusion methods that bridge the gap between computational efficiency and clinical utility, making her a notable contributor to the evolving landscape of medical image analysis.
Research Focus
Key Achievements
Top Papers
- 1