research data . Dataset . 2020

The ExaMode Ontology (full version)

DENNIS DOSSO; GIANMARIA SILVELLO;
Open Access English
  • Published: 12 Oct 2020
  • Publisher: Zenodo
Abstract
<p>The goal of this document is to define an OWL 2 ontology for the ExaMode project whose overall goal is to build predictive algorithms to help pathologists in the diagnosis of cancer cases. The starting point of ExaMode are medical diagnostic reports associated with WSIs of examined tissues.</p> <p>The present ontology models the diagnostic reports associated with a (series of) WSI and enable a structured encoding of the main concepts of a diagnosis. These concepts and their relations can be used to automatically annotate WSI as well as to do some reasoning over diagnostic reports about the cervix, colon and lung cancer, and celiac disease.</p> <p>The full doc...
Subjects
free text keywords: Ontology, Colon Cancer, ExaMode, Digital Pathology
Funded by
EC| EXA MODE
Project
EXA MODE
EXtreme-scale Analytics via Multimodal Ontology Discovery & Enhancement
  • Funder: European Commission (EC)
  • Project Code: 825292
  • Funding stream: H2020 | RIA
Download fromView all 3 versions
Zenodo
Dataset . 2020
Provider: Datacite
Zenodo
Dataset . 2020
Provider: Datacite
Any information missing or wrong?Report an Issue