Breast lesions segmentation and classification in a two-stage process based on Mask-RCNN and Transfer Learning.
Hama SoltaniMohamed AmrouneIssam BendibMohamed Yassine HaouamElhadj BenkhelifaMuhammad Moazam FrazPublished in: Multim. Tools Appl. (2024)
Keyphrases
- transfer learning
- computer aided detection
- digital mammograms
- text classification
- breast tissue
- machine learning
- lung nodules
- learning tasks
- cross domain learning
- benign and malignant
- knowledge transfer
- machine learning algorithms
- breast mri
- breast cancer
- reinforcement learning
- labeled data
- active learning
- cad systems
- multi task
- computer aided diagnosis
- textural features
- skin lesion
- feature space
- decision trees
- feature selection
- cross domain text classification
- transfer knowledge
- manifold alignment
- class labels
- multi task learning
- text categorization
- medical images
- supervised learning
- multi class
- support vector machine
- prior knowledge
- feature extraction
- image segmentation
- label information
- unsupervised learning
- text mining
- feature vectors
- training set
- learning algorithm