Detection of Microcalcifications Clusters in Mammograms through TS-MRF Segmentation and SVM-based Classification.
Ciro D'EliaClaudio MarroccoMario MolinaraGiovanni PoggiGiuseppe ScarpaFrancesco TortorellaPublished in: ICPR (3) (2004)
Keyphrases
- digital mammograms
- microcalcification clusters
- digitized mammograms
- clustered microcalcifications
- textural features
- mammogram images
- mammographic images
- breast cancer
- detection of clustered microcalcifications
- image segmentation
- features extraction
- markov random field
- support vector machine
- benign and malignant
- support vector machine svm
- clustering algorithm
- support vector
- receiver operating characteristic
- classification accuracy
- graph cuts
- feature extraction
- unsupervised clustering
- decision trees
- feature extraction and classification
- multiscale
- segmentation algorithm
- higher order
- segmentation accuracy
- feature vectors
- pixel classification
- pectoral muscle
- level set
- medical images
- logistic regression
- energy function
- low level vision
- image analysis
- object detection
- image classification
- model selection
- breast tissue
- object segmentation
- lung nodules
- medical imaging
- computer aided diagnosis