Histological Image Segmentation and Classification Using Entropy-Based Convolutional Module.
Hwa-Rang KimKwang-Ju KimKil-Taek LimDoo-Hyun ChoiPublished in: IEEE Access (2021)
Keyphrases
- image segmentation
- classification accuracy
- image classification
- support vector machine
- classification method
- graph cuts
- supervised learning
- decision trees
- pattern recognition
- machine learning algorithms
- benchmark datasets
- pattern classification
- support vector
- multiscale
- feature extraction
- automatic classification
- unsupervised clustering
- text classification
- classification scheme
- gray level
- restricted boltzmann machine
- machine learning
- learning algorithm
- computer vision
- feature space
- feature vectors
- active contours
- energy function
- training set
- deformable models
- sparse coding
- fuzzy c means
- image processing
- feature selection
- medical image analysis
- supervised classification
- image analysis
- features extraction