Document Detail


A customizable similarity measure between histological cases.
MedLine Citation:
PMID:  12463845     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
IDEM, a computerized environment dedicated to pathologists, includes a Case Based Reasoning (CBR) procedure to retrieve similar histological cases in the database. The relevancy of a retrieved case strongly depends on the similarity measure comparing case descriptions. The present work deals with the definition of a similarity measure in the context of IDEM. In a first step, a theoretical measure (relational, numerical and informed), based on the domain constraints, was selected. In a second step, the theoretical measure is optimized according to the current case base. Results are presented for a database of 53 cases of breast tumors. The contribution of this work is to give to pathologists an interactive environment that optimizes the similarity measure between histological cases. This work is also a contribution to the CBR cycle life since the similarity measure can be adapted while new cases are added to the base.
Authors:
Marie-Christine Jaulent; Adil Bennani; Christel Le Bozec; Eric Zapletal; Patrice Degoulet
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Proceedings / AMIA ... Annual Symposium. AMIA Symposium     Volume:  -     ISSN:  1531-605X     ISO Abbreviation:  Proc AMIA Symp     Publication Date:  2002  
Date Detail:
Created Date:  2002-12-04     Completed Date:  2003-04-01     Revised Date:  2009-11-18    
Medline Journal Info:
Nlm Unique ID:  100883449     Medline TA:  Proc AMIA Symp     Country:  United States    
Other Details:
Languages:  eng     Pagination:  350-4     Citation Subset:  IM    
Affiliation:
SPIM, Paris, France.
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MeSH Terms
Descriptor/Qualifier:
Artificial Intelligence*
Breast Neoplasms / pathology
Diagnosis, Computer-Assisted*
Humans
Pathology*
Comments/Corrections

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