MACCoM: A multiple attention and convolutional cross-mixer framework for detailed 2D biomedical image segmentation.
Chukwuebuka Joseph EjiyiZhen QinMakuachukwu Bennedith EjiyiChiagoziem Chima UkwuomaThomas Ugochukwu EjiyiGladys Wavinya MuokaEmmanuel S. A. GyartengOlusola BamisilePublished in: Comput. Biol. Medicine (2024)
Keyphrases
- image segmentation
- object detection
- conceptual framework
- main contribution
- computer vision
- multiscale
- object recognition
- edge detection
- method for image segmentation
- unsupervised image segmentation
- integrating multiple
- variational framework
- bayesian framework
- deformable models
- active contours
- data mining
- feature space
- image processing
- machine learning