Combining Deep-Learned and Hand-Crafted Features for Segmentation, Classification and Counting of Colon Nuclei in H &E Stained Histology Images.
Pranay DumbhareYash DubeyVedant PhuseAnkush JamthikarHimanshu PadoleDeep GuptaPublished in: CVIP (2) (2022)
Keyphrases
- microscopic images
- microscopy images
- cell nuclei
- textural features
- skin lesion
- hand crafted
- segmentation method
- image features
- microscope images
- classification accuracy
- feature extraction
- test images
- feature set
- cancer diagnosis
- feature vectors
- segmentation algorithm
- image classification
- automated analysis
- image regions
- feature space
- low contrast
- deep learning
- machine learning
- watershed transform
- input image
- image segmentation
- feature selection
- object recognition
- semantic information