Combining Deep Learning with Traditional Features for Classification and Segmentation of Pathological Images of Breast Cancer.
Simin HeJun RuanYi LongJianlian WangChenchen WuGuanglu YeJingfan ZhouJunqiu YueYanggeling ZhangPublished in: ISCID (1) (2018)
Keyphrases
- breast cancer
- benign and malignant
- mammogram images
- lung nodules
- deep learning
- mammographic images
- breast tissue
- dce mri
- digital mammograms
- segmentation accuracy
- textural features
- early detection of breast cancer
- image features
- skin lesion
- segmentation algorithm
- logistic regression
- computer aided diagnosis
- test images
- image classification
- image analysis
- bladder cancer
- segmentation method
- feature vectors
- cad systems
- classification accuracy
- machine learning
- image segmentation
- unsupervised learning
- ct images
- spatial information
- feature set
- pulmonary nodules
- medical images
- support vector
- feature extraction
- region of interest
- energy function
- text classification
- principal component analysis
- image retrieval
- feature space
- pattern recognition