Compact & Capable: Harnessing Graph Neural Networks and Edge Convolution for Medical Image Classification.
Aryan SinghPepijn van de VenCiarán EisingPatrick DennyPublished in: CoRR (2023)
Keyphrases
- image classification
- neural network
- weighted graph
- undirected graph
- disjoint paths
- edge weights
- bag of words
- graph theory
- directed graph
- graph model
- image features
- vertex set
- image representation
- structured data
- graph representation
- bipartite graph
- pattern recognition
- collective intelligence
- graph theoretic
- image processing
- feature extraction
- artificial neural networks
- edge detection
- connected components
- genetic algorithm
- graph structure
- neural network model
- neural nets
- directed acyclic graph
- medical data
- random walk
- back propagation
- multi label
- medical imaging
- medical knowledge
- strongly connected
- convolution kernel
- spanning tree
- edge information
- multilayer perceptron
- graph matching
- edge detector
- fourier transform
- shortest path