Weighted U-NET++ and 2D-HMM Ensemble for Gastrointestinal Image Segmentation.
Jairo Enrique Ramírez SánchezPedro A. Martínez-BarronHannia Medina-AguilarRomeo Sánchez-NigendaPublished in: Computación y Sistemas (CyS) (2023)
Keyphrases
- image segmentation
- hidden markov models
- mining concept drifting data streams
- neural network
- training data
- multiscale
- medical imaging
- computer vision
- imaging modalities
- ensemble learning
- speech recognition
- graph cuts
- segmentation algorithm
- image processing
- handwritten word recognition
- ensemble methods
- method for image segmentation
- object segmentation
- boundary detection
- training set
- active contours
- unsupervised image segmentation
- expectation maximization
- markov random field
- gesture recognition
- deformable models
- region growing
- spectral clustering
- energy functional
- classifier ensemble
- contour detection
- multi stream
- majority vote
- forward backward
- shape prior
- gray level
- hierarchical hidden markov model