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An Advanced Image Analysis Tool for the Quantification and Characterization of Breast Cancer in Microscopy Images

  • Transactional Processing Systems
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Abstract

The paper presents an advanced image analysis tool for the accurate and fast characterization and quantification of cancer and apoptotic cells in microscopy images. The proposed tool utilizes adaptive thresholding and a Support Vector Machines classifier. The segmentation results are enhanced through a Majority Voting and a Watershed technique, while an object labeling algorithm has been developed for the fast and accurate validation of the recognized cells. Expert pathologists evaluated the tool and the reported results are satisfying and reproducible.

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Authors and Affiliations

  1. Department of Digital Systems, University of Piraeus, Grigoriou Lampraki 126, PC 18532, Piraeus, Greece

    Theodosios Goudas & Ilias Maglogiannis

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  1. Theodosios Goudas
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  2. Ilias Maglogiannis
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Correspondence to Ilias Maglogiannis.

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This article is part of the Topical Collection on Transactional Processing Systems

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Goudas, T., Maglogiannis, I. An Advanced Image Analysis Tool for the Quantification and Characterization of Breast Cancer in Microscopy Images. J Med Syst 39, 31 (2015). https://doi.org/10.1007/s10916-015-0225-3

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  • DOI: https://doi.org/10.1007/s10916-015-0225-3

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