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Oncology Reports
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Print ISSN: 1021-335X Online ISSN: 1791-2431
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April 2006 Volume 15 Issue 4

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Journals

International Journal of Molecular Medicine

International Journal of Molecular Medicine

International Journal of Molecular Medicine is an international journal devoted to molecular mechanisms of human disease.

International Journal of Oncology

International Journal of Oncology

International Journal of Oncology is an international journal devoted to oncology research and cancer treatment.

Molecular Medicine Reports

Molecular Medicine Reports

Covers molecular medicine topics such as pharmacology, pathology, genetics, neuroscience, infectious diseases, molecular cardiology, and molecular surgery.

Oncology Reports

Oncology Reports

Oncology Reports is an international journal devoted to fundamental and applied research in Oncology.

Experimental and Therapeutic Medicine

Experimental and Therapeutic Medicine

Experimental and Therapeutic Medicine is an international journal devoted to laboratory and clinical medicine.

Oncology Letters

Oncology Letters

Oncology Letters is an international journal devoted to Experimental and Clinical Oncology.

Biomedical Reports

Biomedical Reports

Explores a wide range of biological and medical fields, including pharmacology, genetics, microbiology, neuroscience, and molecular cardiology.

Molecular and Clinical Oncology

Molecular and Clinical Oncology

International journal addressing all aspects of oncology research, from tumorigenesis and oncogenes to chemotherapy and metastasis.

World Academy of Sciences Journal

World Academy of Sciences Journal

Multidisciplinary open-access journal spanning biochemistry, genetics, neuroscience, environmental health, and synthetic biology.

International Journal of Functional Nutrition

International Journal of Functional Nutrition

Open-access journal combining biochemistry, pharmacology, immunology, and genetics to advance health through functional nutrition.

International Journal of Epigenetics

International Journal of Epigenetics

Publishes open-access research on using epigenetics to advance understanding and treatment of human disease.

Medicine International

Medicine International

An International Open Access Journal Devoted to General Medicine.

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Article

Discriminating benign from malignant thyroid lesions using artificial intelligence and statistical selection of morphometric features

  • Authors:
    • Beatrix Cochand-Priollet
    • Konstantinos Koutroumbas
    • Tatiana Mona Megalopoulou
    • Abraham Pouliakis
    • Gregory Sivolapenko
    • Petros Karakitsos
  • View Affiliations / Copyright

    Affiliations: Service Central d'Anatomie et de Cytologie Pathologiques, Hospital Lariboisiere, Paris, France
  • Pages: 1023-1026
    |
    Published online on: April 1, 2006
       https://doi.org/10.3892/or.15.4.1023
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Abstract

The objective of this study was to perform a comparative investigation of the capability of various classifiers in discriminating benign from malignant thyroid lesions. Using May Grunvald-Giemsa-stained smears taken by fine needle aspiration (FNA) and a custom image analysis system, 25 nuclear features describing the size, shape and texture of the nuclei were measured in each case. A statistical pre-processing of features revealed that only 4 of the 25 features are important when discriminating benign from malignant thyroid lesions, which were transformed and fed to four classifiers for subsequent analysis. The cases were divided into one set used for the training of classifiers, a second set used as the test set, and the remaining cases with no clear classification formed an ambiguous test set. Classification was performed at the nuclear and patient level. The technique described in this study produced encouraging results and promises to be a helpful tool in the daily cytological laboratory routine.

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Copy and paste a formatted citation
Spandidos Publications style
Cochand-Priollet B, Koutroumbas K, Megalopoulou TM, Pouliakis A, Sivolapenko G and Karakitsos P: Discriminating benign from malignant thyroid lesions using artificial intelligence and statistical selection of morphometric features. Oncol Rep 15: 1023-1026, 2006.
APA
Cochand-Priollet, B., Koutroumbas, K., Megalopoulou, T.M., Pouliakis, A., Sivolapenko, G., & Karakitsos, P. (2006). Discriminating benign from malignant thyroid lesions using artificial intelligence and statistical selection of morphometric features. Oncology Reports, 15, 1023-1026. https://doi.org/10.3892/or.15.4.1023
MLA
Cochand-Priollet, B., Koutroumbas, K., Megalopoulou, T. M., Pouliakis, A., Sivolapenko, G., Karakitsos, P."Discriminating benign from malignant thyroid lesions using artificial intelligence and statistical selection of morphometric features". Oncology Reports 15.4 (2006): 1023-1026.
Chicago
Cochand-Priollet, B., Koutroumbas, K., Megalopoulou, T. M., Pouliakis, A., Sivolapenko, G., Karakitsos, P."Discriminating benign from malignant thyroid lesions using artificial intelligence and statistical selection of morphometric features". Oncology Reports 15, no. 4 (2006): 1023-1026. https://doi.org/10.3892/or.15.4.1023
Copy and paste a formatted citation
x
Spandidos Publications style
Cochand-Priollet B, Koutroumbas K, Megalopoulou TM, Pouliakis A, Sivolapenko G and Karakitsos P: Discriminating benign from malignant thyroid lesions using artificial intelligence and statistical selection of morphometric features. Oncol Rep 15: 1023-1026, 2006.
APA
Cochand-Priollet, B., Koutroumbas, K., Megalopoulou, T.M., Pouliakis, A., Sivolapenko, G., & Karakitsos, P. (2006). Discriminating benign from malignant thyroid lesions using artificial intelligence and statistical selection of morphometric features. Oncology Reports, 15, 1023-1026. https://doi.org/10.3892/or.15.4.1023
MLA
Cochand-Priollet, B., Koutroumbas, K., Megalopoulou, T. M., Pouliakis, A., Sivolapenko, G., Karakitsos, P."Discriminating benign from malignant thyroid lesions using artificial intelligence and statistical selection of morphometric features". Oncology Reports 15.4 (2006): 1023-1026.
Chicago
Cochand-Priollet, B., Koutroumbas, K., Megalopoulou, T. M., Pouliakis, A., Sivolapenko, G., Karakitsos, P."Discriminating benign from malignant thyroid lesions using artificial intelligence and statistical selection of morphometric features". Oncology Reports 15, no. 4 (2006): 1023-1026. https://doi.org/10.3892/or.15.4.1023
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