Raman spectroscopy combined with convolutional neural network for the sub-types classification of breast cancer and critical feature visualization.
Juan LiXiaoting WangShungeng MinJingjing XiaJinyao LiPublished in: Comput. Methods Programs Biomed. (2024)
Keyphrases
- breast cancer
- convolutional neural network
- breast cancer diagnosis
- bladder cancer
- computer aided detection
- mammogram images
- microcalcification clusters
- roc analysis
- feature vectors
- early detection
- logistic regression
- benign and malignant
- face detection
- breast cancer patients
- diagnosis of breast cancer
- breast tissue
- cancer datasets
- computer aided diagnosis
- survival analysis
- feature set
- classification accuracy
- outcome prediction
- decision trees
- data analysis
- early detection of breast cancer
- mammographic images
- text classification
- cad systems
- image features
- training set
- cancer patients
- data mining and statistical
- raman spectra
- training data
- feature extraction