A Systematic Review on Recent Advancements in Deep and Machine Learning Based Detection and Classification of Acute Lymphoblastic Leukemia.
Pradeep Kumar DasDiya V. ASukadev MeherRutuparna PandaAjith AbrahamPublished in: IEEE Access (2022)
Keyphrases
- machine learning
- systematic review
- pattern recognition
- machine learning methods
- text classification
- feature selection
- decision trees
- machine learning algorithms
- support vector machine
- classification method
- accurate classification
- classification accuracy
- unsupervised learning
- supervised learning
- automatic detection
- support vector machine svm
- false positives
- automatic classification
- deep learning
- feature vectors
- neyman pearson
- pattern classification
- microarray data
- detection method
- supervised machine learning
- robust detection
- model selection
- machine learning approaches
- learning algorithm
- feature extraction
- cancer classification
- active learning
- supervised classification
- information processing
- learning tasks
- detection algorithm
- image classification
- semi supervised learning
- benchmark datasets
- high dimensional
- data analysis
- detection rate
- digital mammograms
- computer vision