Literature DB >> 2604824

The PARTICLE expert system for tumor grading by automated image analysis.

P Hufnagl1, H Guski, G Wolf, K Wenzelides, H Martin, K Roth.   

Abstract

While automated microscopic image analysis of histologic sections has been helpful in objectivizing histologic tumor grading and investigating the relationships between grading and prognosis, expert systems have the potential of linking image analysis and other data for statistical analysis and application to a wider range of tumors. One such expert system is PARTICLE, whose development was based on many years of experience in resolving histologic problems by image analysis. This paper discusses the philosophy of expert system for tumor grading and describes its implementation in the PARTICLE system. The system's structure, operations and applications are briefly presented. PARTICLE is essentially based on the evaluation of karyometric data.

Entities:  

Mesh:

Year:  1989        PMID: 2604824

Source DB:  PubMed          Journal:  Anal Quant Cytol Histol        ISSN: 0884-6812            Impact factor:   0.302


  1 in total

1.  Diagnostic tools for differentiating pleural mesothelioma from lung adenocarcinoma in paraffin embedded tissue. II. Design of an expert system and its application to the diagnosis of mesothelioma.

Authors:  H Moch; M Oberholzer; H Christen; M Buser; P Dalquen; W Wegmann; F Gudat
Journal:  Virchows Arch A Pathol Anat Histopathol       Date:  1993
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.