An adaptive resource-allocating network for automated detection, segmentation, and classification of breast cancer nuclei topic area: image processing and recognition.
Kyoung-Mi LeeWilliam Nick StreetPublished in: IEEE Trans. Neural Networks (2003)
Keyphrases
- breast cancer
- automated detection
- breast tumors
- cell nuclei
- breast cancer diagnosis
- computer aided detection
- breast tissue
- image processing
- bladder cancer
- mammogram images
- automated analysis
- feature extraction
- microcalcification clusters
- cancer datasets
- logistic regression
- early detection
- cancer diagnosis
- image segmentation
- benign and malignant
- ultrasonic images
- computer aided diagnosis
- diagnosis of breast cancer
- dce mri
- support vector
- lung nodules
- lung cancer
- image analysis
- classification accuracy
- breast cancer patients
- segmentation method
- dermoscopy images
- pixel classification
- microscopy images
- numerical data
- medical imaging
- medical images
- feature selection
- cad systems
- textural features
- cancer patients
- edge detection
- decision trees
- machine learning
- fractal analysis
- quantitative evaluation
- computer aided
- computer graphics
- computer vision