By learning the relevant features of clinical images along with the relationships between them, the neural network can outperform more traditional methods.

The excellent performance of graph convolutional networks (GCNs) on non-Euclidean data has drawn widespread attention from the hyperspectral image classification (HSIC) community, where the predefined ...

The goal of few-shot image classification is to learn a classifier that can be well generalized to the unseen classes with a few available labeled samples. One major challenge for few-shot learning is ...

Charts and graphs : guidelines for the visual presentation of statistical data in the life sciences by Simmonds, Doig; Bragg, Gillian; Institute ofMedical and Biological Illustration Publication date ...