A Comparative Study of State-of-the-Art Deep Learning Models for Semantic Segmentation of Pores in Scanning Electron Microscope Images of Activated Carbon.
Bishwas PokharelDeep Shankar PandeyAnjuli SapkotaBhimraj YadavVasanta GurungMandira Pradhananga AdhikariLoknath RegmiNanda B. AdhikariPublished in: IEEE Access (2024)
Keyphrases
- learning models
- semantic segmentation
- microscope images
- conditional random fields
- electron microscopy
- probabilistic model
- graphical models
- superpixels
- hidden markov models
- information extraction
- pairwise
- loss function
- markov random field
- machine learning
- generative model
- higher order
- object categories
- machine learning algorithms
- semi supervised learning
- learning algorithm
- classification models
- medical images
- classification accuracy
- image processing
- computer vision