Cervical Cancer image enhancement
Published: 17 September 2024| Version 1 | DOI: 10.17632/r8w5dw4swt.1
Contributors:
Sivagami Sundari K, Srutha Keerthi BDescription
This dataset contains the MATLAB code used to implement the image enhancement techniques described in our paper on cervical cancer detection. The approach combines the use of Lucas polynomials, power-law transformation, and Geometric Function Theory for image enhancement. The scripts allow for replication of the results, including parameter tuning and performance metrics (SSIM, PSNR, NIQE and MAE). Future researchers can modify these scripts for further experiments and validation.
Files
Categories
Cervical Cancer, Image Enhancement