Automatic cell count in digital images of liver tissue sections

P. Mussio, M. Pietrogrande, P. Bottoni, M. Dell'Oca, E. Arosio, E. Sartirana, M. R. Finanzon, N. Dioguardi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A method for identifying and counting cells and biological structures in histological liver tissue sections is presented. The method uses several image processing operators. The final classification results from contextual fusion of different clues. The overall flow of information among the active components of the cell description procedure (CDP) is outlined. The CDP is constructed and validated by a sequence of exploration and confirmation phases. Exploration takes place when a set of known images that is progressively improved until the results are satisfactory is worked out through the CDP. The confirmation phase may then start, working out a new set of images (of the same type but not analyzed before) and proceeding until acceptable sets of agents are generated. The completion of a first exploration phase has identified some major fields of improvement such as the identification of revision criteria for the refinement of the F-nuclei class.

Original languageEnglish
Title of host publicationProc 4 Annu Symp Comput Based Med Syst
PublisherPubl by IEEE
Pages153-160
Number of pages8
ISBN (Print)0818621648
Publication statusPublished - 1991
EventProceedings of the 4th Annual Symposium on Computer-Based Medical Systems -
Duration: May 12 1991May 14 1991

Other

OtherProceedings of the 4th Annual Symposium on Computer-Based Medical Systems
Period5/12/915/14/91

ASJC Scopus subject areas

  • Engineering(all)

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