HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification.
Pushpak PatiGuillaume JaumeLauren Alisha FernandesAntonio FoncubiertaFlorinda FeroceAnna Maria AnnicielloGiosue ScognamiglioNadia BrancatiDaniel RiccioMaurizio Di BonitoGiuseppe De PietroGerardo BottiOrcun GokselJean-Philippe ThiranMaria FrucciMaria GabraniPublished in: CoRR (2020)
Keyphrases
- image classification
- neural network
- tissue samples
- feature extraction
- bag of words
- image representation
- multi layer
- histopathological images
- image analysis
- graph structure
- random walk
- artificial neural networks
- graph representation
- hierarchical structure
- graph model
- attributed graphs
- cell nuclei
- graph matching
- multi label
- image features
- recurrent neural networks
- bp neural network
- bipartite graph
- graph theory
- weighted graph
- neural network model
- fuzzy logic
- post mortem
- object recognition
- pattern recognition
- phase contrast microscopy
- class specific
- low contrast
- graph databases
- graph mining
- genetic algorithm