Organizing Knowledge in a Semantic Web for Pathology

@inproceedings{Tolksdorf2004OrganizingKI,
  title={Organizing Knowledge in a Semantic Web for Pathology},
  author={Robert Tolksdorf and Elena Paslaru Bontas Simperl},
  booktitle={Net.ObjectDays},
  year={2004}
}
Digital pathology and telepathology allow for the extended usage of electronic images for diagnostics, support or educational purposes in anatomical or clinical pathology. Current approaches have not found wide acceptance in routine pathology, mainly due to limitations in image retrieval. In this paper we propose a semantic retrieval system for the pathology domain. The system combines text and image information and offers advanced content-based retrieval services for diagnosis, differential… 
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References

SHOWING 1-10 OF 19 REFERENCES
Feeding OWL: Extracting and Representing the Content of Pathology Reports
TLDR
An ongoing project that combines NLP with semantic web technologies to support a content-based storage and retrieval of medical pathology reports provides a good example of how NLP techniques can be used to populate the Semantic Web.
Navigation in medical Internet image databases
  • T. Prokosch
  • Computer Science
    Medical informatics and the Internet in medicine
  • 2001
TLDR
The techniques of navigation within WWW-databases and the semantic types of their queries have been analysed and UMLS especially shows that a well defined thesaurus can improve navigation.
Using the UMLS Semantic Network as a basis for constructing a terminological knowledge base: a preliminary report.
TLDR
The preliminary results of the attempt to reuse the UMLS Semantic Network as an ontology for the knowledge base of a patient education system are described.
Medical knowledge reengineering - converting major portions of the UMLS into a terminological knowledge base
Pathfinder: multiresolution region-based searching of pathology images using IRM
The fast growth of digitized pathology slides has created great challenges in research on image database retrieval. The prevalent retrieval technique involves human-supplied text annotations to…
Knowledge engineering the UMLS.
TLDR
A four-step knowledge engineering approach to transform a major portion of the Unified Medical Language System into a formally sound description logics system and reports on experiments with a Loom knowledge base which consists of 164,000 concepts and 76,000 relations covering human anatomy and pathology.
Mapping the UMLS Semantic Network into general ontologies
In this study, we analyzed the compatibility between an ontology of the biomedical domain (the UMLS Semantic Network) and two other ontologies: the Upper Cyc Ontology (UCO) and WordNet. 1) We…
Research Paper: PathMaster: Content-based Cell Image Retrieval Using Automated Feature Extraction
TLDR
A method for automatically indexing images of individual cells and their associated diagnoses by computationally derived cell descriptors may serve to better index data contained in digital image databases, thereby enabling cytologists and pathologists to cross-reference cells of unknown etiology or nature.
Representing the UMLS as an OODB: Modeling Issues and Advantages
TLDR
This work presents a representation to support the comprehension and navigation of the UMLS, the Metathesaurus and the Semantic Network, as a uniied system, and presents examples of how the intersection classes help expose omissions of concepts, highlight errors of semantic type classiication, and uncover ambiguities of concepts in the U MLS.
An Overview of the ONIONS Project: Applying Ontologies to the Integration of Medical Terminologies
...
...