Related Experiment Video
Updated: Jul 1, 2025
15:48
Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
Published on: December 15, 2014
22.5K
Enhancing Laryngeal Spinocellular Carcinoma Image Security with DCT
1Department of Information and Communication Technology, Manipal Institute of Technology, Manipal Academy of Higher Education (MAHE), Manipal, Karnataka 576104 India.
Summary
This study introduces a new method for securing Laryngeal Squamous Cell Carcinoma (LSCC) images using Discrete Cosine Transformation (DCT) secret sharing. This approach protects sensitive medical data while ensuring image quality and enabling accurate LSCC diagnosis.
Area of Science:
- Medical Imaging Security
- Cryptographic Applications in Healthcare
Background:
- Laryngeal Squamous Cell Carcinoma (LSCC) diagnosis relies on high-quality imaging.
- Protecting patient privacy and data integrity in medical records is crucial.
- Existing methods may lack robustness or efficiency for medical image security.
Purpose of the Study:
- To propose a novel secret sharing scheme for securing LSCC images.
- To utilize Discrete Cosine Transformation (DCT) as a cryptographic tool for image security.
- To ensure confidentiality, integrity, and robustness of LSCC image data.
Main Methods:
- A DCT-based secret sharing scheme was developed.
- LSCC images were divided into shares containing DCT coefficients.
- Image reconstruction requires a predefined number of shares.
- Robustness against noise and data loss was evaluated.
Main Results:
- The proposed scheme effectively divides and reconstructs LSCC images.
- Demonstrated robustness against transmission noise and data loss.
- Performance validated through PSNR, correlation, and histogram analyses.
- High image quality and security preservation were achieved.
Conclusions:
- The DCT-based secret sharing scheme enhances LSCC image security.
- The method is robust, preserves image quality, and safeguards patient privacy.
- Facilitates secure medical applications for LSCC diagnosis and treatment planning.
