Tissue Counter Analysis of Histologic Sections of Melanoma: Influence of Mask Size and Shape, Feature Selection, Statistical Methods and Tissue Preparation | Zendy

Josef Smolle | Zendy; Armin Gerger | Zendy; Wolfgang Weger | Zendy; Heinz Kutzner | Zendy; Michael Tronnier | Zendy

Open Access

Tissue Counter Analysis of Histologic Sections of Melanoma: Influence of Mask Size and Shape, Feature Selection, Statistical Methods and Tissue Preparation

Author(s) -

Josef Smolle,

Armin Gerger,

Wolfgang Weger,

Heinz Kutzner,

Michael Tronnier

Publication year - 2002

Publication title -

analytical cellular pathology

Language(s) - English

Resource type - Journals

eISSN - 2210-7185

pISSN - 2210-7177

DOI - 10.1155/2002/141295

Subject(s) - pattern recognition (psychology) , linear discriminant analysis , artificial intelligence , computer science , feature (linguistics) , set (abstract data type) , feature selection , selection (genetic algorithm) , statistical analysis , mathematics , statistics , philosophy , linguistics , programming language

Tissue counter analysis is an image analysis tool designed for the detection of structures in complex images at the macroscopic or microscopic scale. As a basic principle, small square or circular measuring masks are randomly placed across the image and image analysis parameters are obtained for each mask. Based on learning sets, statistical classification procedures are generated which facilitate an automated classification of new data sets.

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