Segmentation and Classification of Melanoma and Nevus in Whole Slide Images.
Mike van ZonNikolas StathonikosWilleke A. M. BlokxSelim KominaSybren L. N. MaasJosien P. W. PluimPaul J. van DiestMitko VetaPublished in: ISBI (2020)
Keyphrases
- pigmented skin lesions
- skin lesion
- image analysis
- segmentation algorithm
- segmentation method
- image classification
- skin cancer
- test images
- image regions
- accurate segmentation
- malignant melanoma
- input image
- adaptive thresholding
- fully automatic
- edge detection
- dermoscopy images
- ground truth
- region growing
- segmentation errors
- computer aided
- feature selection
- image data
- microscopic images
- extracted features
- image segments
- image registration
- early detection
- feature extraction and selection
- microscopy images
- grey level co occurrence matrix
- gabor filters
- automated analysis
- segmentation accuracy
- segmented images
- pixel wise
- multiple objects
- object segmentation
- level set
- image database
- feature vectors
- image retrieval
- training set
- object recognition