A fully automated scheme for mammographic segmentation and classification based on breast density and asymmetry.
Stylianos D. TzikopoulosMichael E. MavroforakisHarris V. GeorgiouNikos DimitropoulosSergios TheodoridisPublished in: Comput. Methods Programs Biomed. (2011)
Keyphrases
- fully automated
- breast tissue
- fully automatic
- computer aided detection
- pectoral muscle
- breast cancer
- classification scheme
- computer aided diagnosis
- digitized mammograms
- mammographic images
- semi automated
- image analysis
- lung nodules
- textural features
- tissue classification
- breast cancer diagnosis
- breast mri
- manual segmentation
- pixel classification
- digital mammograms
- benign and malignant
- completely automated
- semi automatic
- quantitative evaluation
- segmentation algorithm
- computer aided
- level set
- automated segmentation
- shape prior
- medical images
- image segmentation
- ground truth
- energy function
- atlas based segmentation
- dce mri
- labor intensive
- segmentation accuracy
- segmentation method
- mri data
- region growing