A review of deep learning-based multiple-lesion recognition from medical images: classification, detection and segmentation.
Huiyan JiangZhaoshuo DiaoTianyu ShiYang ZhouFeiyu WangWenrui HuXiaolin ZhuShijie LuoGuoyu TongYu-Dong YaoPublished in: Comput. Biol. Medicine (2023)
Keyphrases
- medical images
- deep learning
- unsupervised learning
- region of interest
- medical imaging
- pattern recognition
- anatomical structures
- computer aided diagnosis
- medical image analysis
- feature extraction
- dermoscopy images
- pigmented skin lesions
- medical image segmentation
- deformable models
- magnetic resonance imaging
- machine learning
- imaging modalities
- magnetic resonance
- mr images
- ct images
- magnetic resonance images
- segmentation of medical images
- object recognition
- supervised learning
- mri images
- feature space
- feature selection
- object detection
- text classification
- biomedical images
- three dimensional
- image segmentation
- computer vision
- multiple objects
- learning algorithm
- shape prior
- feature vectors