A Cascaded Classification-Segmentation Reversible System for Computer-Aided Detection and Cells Counting in Microscopic Peripheral Blood Smear Basophils and Eosinophils Images.
Amira S. AshourMaram A. WahbaRami GhannamPublished in: IEEE Access (2021)
Keyphrases
- computer aided detection
- blood cells
- image analysis
- cell nucleus
- white blood cells
- segmentation algorithm
- pigmented skin lesions
- segmentation method
- microscopy images
- microscope images
- fluorescence microscopy images
- cell nuclei
- skin lesion
- accurate segmentation
- image features
- lung nodules
- breast cancer
- pattern recognition
- edge detection
- input image
- image data
- image segmentation
- fully automatic
- three dimensional
- ct colonography
- feature vectors
- training set
- machine learning
- feature selection
- classification accuracy
- level set
- image registration
- feature space
- early detection
- ct scans
- support vector
- region of interest