HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification.
Pushpak PatiGuillaume JaumeLauren Alisha FernandesAntonio Foncubierta-RodríguezFlorinda FeroceAnna Maria AnnicielloGiosue ScognamiglioNadia BrancatiDaniel RiccioMaurizio Di BonitoGiuseppe De PietroGerardo BottiOrcun GokselJean-Philippe ThiranMaria FrucciMaria GabraniPublished in: UNSURE/GRAIL@MICCAI (2020)
Keyphrases
- image classification
- neural network
- tissue samples
- feature extraction
- image representation
- bag of words
- histopathological images
- graph representation
- graph structure
- artificial neural networks
- graph theory
- back propagation
- neural network model
- three dimensional
- multi layer
- pattern recognition
- random walk
- structured data
- cell nuclei
- bipartite graph
- sparse coding
- confocal images
- neural network is trained
- computer vision
- directed graph
- hierarchical structure
- image features
- visual words
- graph model
- tissue classification
- learning algorithm
- microscopy images
- class specific
- bp neural network
- recurrent neural networks
- graph matching
- multi label