Improving Classification of Breast Cancer by Utilizing the Image Pyramids of Whole-Slide Imaging and Multi-scale Convolutional Neural Networks.
Li TongYing ShaMay D. WangPublished in: COMPSAC (1) (2019)
Keyphrases
- breast cancer
- breast cancer diagnosis
- bladder cancer
- mammogram images
- multiscale
- diagnosis of breast cancer
- computer aided detection
- microcalcification clusters
- breast cancer detection
- early detection
- image pyramids
- benign and malignant
- computer aided diagnosis
- cancer datasets
- convolutional neural networks
- classification accuracy
- breast tissue
- pattern recognition
- logistic regression
- image processing
- medical imaging
- feature extraction
- breast cancer patients
- feature selection
- decision trees
- feature vectors
- image analysis
- mammographic images
- high resolution
- cad systems
- coarse to fine
- support vector
- training data
- correct classification
- computer vision
- edge detection