A Review on Traditional Machine Learning and Deep Learning Models for WBCs Classification in Blood Smear Images.
Siraj KhanMuhammad SajjadTanveer HussainAmin UllahAli Shariq ImranPublished in: IEEE Access (2021)
Keyphrases
- learning models
- machine learning
- machine learning algorithms
- image classification
- machine learning models
- classification models
- pattern recognition
- input image
- machine learning methods
- learning algorithm
- learning tasks
- cost sensitive learning
- object recognition
- image features
- decision trees
- supervised learning
- learning paradigms
- semi supervised learning
- learning problems
- text classification
- feature selection
- support vector machine
- active learning
- unsupervised learning
- blood cells
- feature extraction
- conditional random fields
- loss function
- model selection
- segmentation method
- knowledge discovery
- kernel methods
- learning process
- segmentation algorithm
- image processing
- machine learning approaches
- data sets
- computer vision
- genetic algorithm