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Multiplex Classification Ontology for the MultiCaRe Experiment
Last uploaded:
September 7, 2024
| Acronym | MCO4MCRE |
| Visibility | Public |
| Description | Ontology used for one of the experiments from the Multiplex Classification Framework (paper under review). This ontology is based on the set of classes from the MultiCaRe dataset. The MultiCaRe dataset is a multimodal case report dataset containing medical images that were programmatically labeled based on the content of their captions (Nievas Offidani & Delrieux, 2024). Images may have more than one label, making this a multi-label classification task. For this experiment, we selected a subset of 31 classes, including “endoscopy”, “colonoscopy”, and “mri”. The original ontology is flat, and it does not contain any logical constraints among the classes. Data Article: Nievas Offidani, M. A., & Delrieux, C. A. (2024). Dataset of clinical cases, images, image labels and captions from open access case reports from PubMed Central (1990–2023). Data in Brief, 52, 110008. https://doi.org/10.1016/j.dib.2023.110008 |
| Status | Alpha |
| Format | OWL |
| Contact | Mauro Nievas Offidani, mauro.nievasoffidani@gmail.com |
| Categories | Health, Imaging |
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