Article
3DCAE-MRI: Overcoming Data Availability in Small Sample Size MRI Studies
2023-09-04
Abstract excerpt
<title>Abstract</title> <p>Deep learning (DL) are data-driven models that learn abstract, hierarchical features from raw or low-processed data. These models perform exceptionally in image recognition tasks using large amounts of data. Thus, the availability of open-source large-scale annotated datasets is crucial to achieve high-performance models. Nevertheless, the usage of DL models in neuroimaging is restricte...
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Identifiers and source
- Literature Corpus work
- e42c59f6-e27d-5619-960c-68204e39470f
- DOI
- 10.21203/rs.3.rs-3290143/v1
