Segmentation and classification of breast cancer using novel deep learning architecture.
S. RameshS. SasikalaS. GomathiV. GeethaV. AnbumaniPublished in: Neural Comput. Appl. (2022)
Keyphrases
- breast cancer
- deep learning
- computer aided detection
- breast cancer diagnosis
- bladder cancer
- mammogram images
- breast tissue
- microcalcification clusters
- diagnosis of breast cancer
- computer aided diagnosis
- logistic regression
- unsupervised learning
- benign and malignant
- lung nodules
- cancer datasets
- decision trees
- classification accuracy
- breast cancer patients
- image segmentation
- pixel classification
- dce mri
- machine learning
- feature extraction
- level set
- medical images
- pattern recognition
- weakly supervised
- multiscale
- data sets
- segmentation algorithm
- text classification
- supervised learning
- textural features
- correct classification
- bayesian networks
- cancer patients
- feature space
- image processing