An Enhanced Mammogram Classification to Detect Breast Cancer using Boosted PSO Feature Selection and Multi-Feature Analysis.
L. Kanya KumariN. SrinivasuB. Naga JagadeshPublished in: ICCCNT (2023)
Keyphrases
- breast cancer
- feature analysis
- feature selection
- breast cancer diagnosis
- feature extraction
- computer aided detection
- computer aided diagnosis
- bladder cancer
- mammogram images
- breast tissue
- diagnosis of breast cancer
- early detection
- benign and malignant
- logistic regression
- roc analysis
- cancer datasets
- support vector machine
- classification accuracy
- digital mammography
- support vector
- text classification
- microcalcification clusters
- breast cancer patients
- cad systems
- mammographic images
- text categorization
- particle swarm optimization
- feature set
- decision trees
- unsupervised learning
- dimension reduction
- data mining
- cancer patients
- high dimensionality
- naive bayes
- feature space
- digital mammograms
- dce mri
- microarray data
- data mining techniques
- dimensionality reduction
- image analysis
- feature vectors
- data sets