Breast cancer nuclei segmentation and classification based on a deep learning approach.
Marek KowalMarcin SkobelArtur GramackiJózef KorbiczPublished in: Int. J. Appl. Math. Comput. Sci. (2021)
Keyphrases
- breast cancer
- deep learning
- computer aided detection
- breast cancer diagnosis
- breast tissue
- mammogram images
- bladder cancer
- microcalcification clusters
- computer aided diagnosis
- benign and malignant
- lung nodules
- classification accuracy
- machine learning
- unsupervised learning
- segmentation method
- dce mri
- medical images
- logistic regression
- image segmentation
- breast cancer patients
- level set
- object segmentation
- mental models
- microscopy images
- medical imaging
- feature set
- pattern recognition
- mr images
- weakly supervised
- segmentation algorithm
- model selection
- correct classification
- data points
- feature vectors
- feature space
- support vector
- multiscale
- feature extraction