An efficient CNN-based Automated Leukemia diagnosis Using microscopic blood smear images and Subtypes Classification.
Junaid KhanKyungsup KimPublished in: AICCC (2022)
Keyphrases
- cancer diagnosis
- skin lesion
- image classification
- image analysis
- pigmented skin lesions
- accurate classification
- automated classification
- high resolution computed tomography
- image database
- blood cells
- image data
- test images
- image retrieval
- three dimensional
- image features
- input image
- pattern recognition
- support vector machine svm
- classification accuracy
- correct classification
- image registration
- support vector machine
- neural network
- classification algorithm
- cell nucleus
- cell nuclei
- edge detection
- preprocessing stage
- hyperspectral images
- gene expression profiles
- feature extraction
- malignant melanoma
- colon cancer
- class labels
- automated segmentation
- cellular neural networks
- image set
- high dimensionality
- computer aided
- text classification
- feature set
- supervised learning
- color images
- object recognition
- feature selection