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PubMed · 17067010

Image processing for accurate cell recognition and count on histologic slides.

Tomasz Markiewicz·Stanislaw Osowski·Janusz Patera·Wojciech Kozlowski
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Abstract

OBJECTIVE: To design an automatic system for recognition and count of two different cell families on histologic slides. STUDY DESIGN: The segmentation strategy uses color information on the image. The morphologic operations and Support Vector Machine approaches are used for each color to obtain precise segmentation of the image into separate cells for recognition. RESULTS: A large set of histologic slides of bone marrow was assessed byour system and the results compared to the score of a human expert. The results are in good agreement. The difference is within acceptable limits (below 10%). CONCLUSION: The automatic system of cell recognition and extraction is accurate and provides a useful tool for cell recognition and count on histologic slides.

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Cell CountCell ShapeCellsHumansImage Processing, Computer-AssistedPattern Recognition, AutomatedSensitivity and SpecificityJournal Article

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Tomasz Markiewicz, Stanislaw Osowski, Janusz Patera, Wojciech Kozlowski. 2006. Image processing for accurate cell recognition and count on histologic slides.. https://pubmed.ncbi.nlm.nih.gov/17067010/

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