Segmentation, Classification and Interpretation of Breast Cancer Medical Images using Human-in-the-Loop Machine Learning.
David Vázquez-LemaEduardo Mosqueira-ReyElena Hernández-PereiraCarlos Fernandez-LozanoFernando Seara-RomeraJorge Pombo-OteroPublished in: CoRR (2024)
Keyphrases
- medical images
- computer aided diagnosis
- breast cancer
- machine learning
- lung nodules
- breast cancer diagnosis
- mammogram images
- medical imaging
- bladder cancer
- diagnosis of breast cancer
- computer aided detection
- anatomical structures
- benign and malignant
- pattern recognition
- deformable models
- magnetic resonance imaging
- region of interest
- medical data
- medical image analysis
- decision trees
- microcalcification clusters
- text classification
- breast tissue
- ct images
- magnetic resonance
- magnetic resonance images
- breast cancer patients
- logistic regression
- clinical practice
- imaging modalities
- x ray images
- classification accuracy
- ct scans
- correct classification
- mr images
- cad systems
- brain images
- computed tomography
- support vector
- medical image retrieval
- clinical applications
- feature space
- feature selection
- image analysis
- data mining
- computer vision
- dce mri
- image segmentation
- computer aided