A fourth order PDE based fuzzy c- means approach for segmentation of microscopic biopsy images in presence of Poisson noise for cancer detection.
Rajesh KumarSubodh SrivastavaRajeev SrivastavaPublished in: Comput. Methods Programs Biomed. (2017)
Keyphrases
- fourth order
- cancer detection
- fuzzy c means
- poisson noise
- image interpolation
- image analysis
- image segmentation
- segmentation algorithm
- segmentation method
- noise removal
- fuzzy clustering
- edge detection
- partial differential equations
- image restoration
- anisotropic diffusion
- input image
- high order
- image data
- noise model
- clustering algorithm
- cluster analysis
- object recognition
- level set
- gaussian noise
- image registration
- similarity measure
- multiscale
- nonlinear diffusion
- morphological filters
- prostate cancer
- region growing
- image denoising
- feature vectors
- higher order
- active contours
- noise reduction
- image enhancement
- machine learning