AF-SENet: Classification of Cancer in Cervical Tissue Pathological Images Based on Fusing Deep Convolution Features.
Pan HuangXiaoheng TanChen ChenXiaoyi LvYongming LiPublished in: Sensors (2021)
Keyphrases
- extracted features
- image features
- extracting features
- image classification
- correct classification rate
- feature extraction
- classification accuracy
- feature set
- feature representation
- image analysis
- feature vectors
- textural features
- three dimensional
- object recognition
- discriminative features
- test images
- feature space
- multiple classifiers
- keypoints
- input image
- skin lesion
- image database
- classification method
- decision level fusion
- image regions
- confocal images
- microscopy images
- edge detection
- image data
- breast tissue
- tissue samples
- gabor filters
- fisher linear discriminant
- image registration
- lymph nodes
- image retrieval
- highly discriminative
- cancer diagnosis
- class labels
- feature selection
- cell nuclei
- feature fusion
- spinal cord
- computer aided
- human skin
- feature subset
- image set
- texture features
- segmentation method
- support vector machine svm
- training set
- image processing