Novel architecture with selected feature vector for effective classification of mitotic and non-mitotic cells in breast cancer histology images.
Mobeen Ur RehmanSuhail AkhtarMuhammad ZakwanMuhammad Habib MahmoodPublished in: Biomed. Signal Process. Control. (2022)
Keyphrases
- breast cancer
- fluorescence microscopy images
- feature vectors
- mammogram images
- breast cancer diagnosis
- image features
- benign and malignant
- breast tissue
- visual inspection
- computer aided detection
- cell nuclei
- bladder cancer
- digital mammography
- diagnosis of breast cancer
- feature space
- breast cancer detection
- automated analysis
- early detection of breast cancer
- feature extraction
- early detection
- logistic regression
- input image
- image analysis
- computer aided diagnosis
- mammographic images
- classification accuracy
- cancer datasets
- microcalcification clusters
- similarity measure
- decision trees
- digital mammograms
- image registration
- fractal analysis
- texture features
- breast cancer patients
- feature selection
- training set
- support vector
- low contrast
- image segmentation