Ontology highlight
ABSTRACT:
SUBMITTER: Etheredge RI
PROVIDER: S-EPMC7892362 | biostudies-literature | 2021 Feb
REPOSITORIES: biostudies-literature
Etheredge Robert Ian RI Schartl Manfred M Jordan Alex A
Patterns (New York, N.Y.) 20210121 2
Apart from discriminative modeling, the application of deep convolutional neural networks to basic research utilizing natural imaging data faces unique hurdles. Here, we present decontextualized hierarchical representation learning (DHRL), designed specifically to overcome these limitations. DHRL enables the broader use of small datasets, which are typical in most studies. It also captures spatial relationships between features, provides novel tools for investigating latent variables, and achiev ...[more]