Computerized Determination Scheme for Histological Classification of Breast Mass Using Objective Features Corresponding to Clinicians' Subjective Impressions on Ultrasonographic Images.
Akiyoshi HizukuriRyohei NakayamaYumi KashikuraHaruhiko TakaseHiroharu KawanakaTomoko OgawaShinji TsuruokaPublished in: J. Digit. Imaging (2013)
Keyphrases
- mammogram images
- extracting features
- extracted features
- benign and malignant
- mammographic images
- digital mammograms
- image features
- digital mammography
- correct classification rate
- image classification
- feature extraction
- feature vectors
- breast cancer
- classification accuracy
- discriminative features
- feature set
- textural features
- classification method
- feature representation
- classification scheme
- digitized mammograms
- breast tissue
- feature space
- subjective evaluation
- input image
- image retrieval
- class labels
- skin lesion
- quality metrics
- test images
- fisher linear discriminant
- image database
- image data
- gabor filters
- image analysis
- human observers
- high resolution images
- image set
- image quality metrics
- image registration
- feature selection
- training set
- cell nuclei
- keypoints
- image regions
- segmentation algorithm
- breast cancer diagnosis
- object recognition
- low contrast
- contrast enhancement