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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

The potential of feature selection by statistical techniques and the use of statistical classifiers in the discrimination of benign from malignant gastric lesions

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

    Affiliations: Department of Histology and Embryology, Medical School of Athens, Athens University, Athens, Greece
  • Pages: 1033-1036
    |
    Published online on: April 1, 2006
       https://doi.org/10.3892/or.15.4.1033
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Abstract

The objective of this study was the investigation of the potential value of morphometry, feature selection and statistical classifiers techniques, such as neural networks, for the classification of benign from malignant gastric nuclei and cases. One hundred and twenty gastric smears, routinely processed and stained by Papanicolaou technique, were analyzed by a customized image analysis system. Data from half of the cases were selected to form the training set, while the remaining data formed the test set. A feature selection technique was applied in order to identify the most important nuclear features, which were used in a second stage by statistical classifiers to classify a nucleus as benign or malignant. Using the classifier results for the nuclear classification, a method to classify each individual patient was developed. The performance of the proposed method was validated through the test set. The technique described in this report produces significant results at the nuclear and patient level and promises to be a powerful assistance tool for everyday cytological laboratory routine.

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Copy and paste a formatted citation
Spandidos Publications style
Megalopoulou TM, Koutroumbas K, Pouliakis A, Sivolapenko G and Karakitsos P: The potential of feature selection by statistical techniques and the use of statistical classifiers in the discrimination of benign from malignant gastric lesions. Oncol Rep 15: 1033-1036, 2006.
APA
Megalopoulou, T.M., Koutroumbas, K., Pouliakis, A., Sivolapenko, G., & Karakitsos, P. (2006). The potential of feature selection by statistical techniques and the use of statistical classifiers in the discrimination of benign from malignant gastric lesions. Oncology Reports, 15, 1033-1036. https://doi.org/10.3892/or.15.4.1033
MLA
Megalopoulou, T. M., Koutroumbas, K., Pouliakis, A., Sivolapenko, G., Karakitsos, P."The potential of feature selection by statistical techniques and the use of statistical classifiers in the discrimination of benign from malignant gastric lesions". Oncology Reports 15.4 (2006): 1033-1036.
Chicago
Megalopoulou, T. M., Koutroumbas, K., Pouliakis, A., Sivolapenko, G., Karakitsos, P."The potential of feature selection by statistical techniques and the use of statistical classifiers in the discrimination of benign from malignant gastric lesions". Oncology Reports 15, no. 4 (2006): 1033-1036. https://doi.org/10.3892/or.15.4.1033
Copy and paste a formatted citation
x
Spandidos Publications style
Megalopoulou TM, Koutroumbas K, Pouliakis A, Sivolapenko G and Karakitsos P: The potential of feature selection by statistical techniques and the use of statistical classifiers in the discrimination of benign from malignant gastric lesions. Oncol Rep 15: 1033-1036, 2006.
APA
Megalopoulou, T.M., Koutroumbas, K., Pouliakis, A., Sivolapenko, G., & Karakitsos, P. (2006). The potential of feature selection by statistical techniques and the use of statistical classifiers in the discrimination of benign from malignant gastric lesions. Oncology Reports, 15, 1033-1036. https://doi.org/10.3892/or.15.4.1033
MLA
Megalopoulou, T. M., Koutroumbas, K., Pouliakis, A., Sivolapenko, G., Karakitsos, P."The potential of feature selection by statistical techniques and the use of statistical classifiers in the discrimination of benign from malignant gastric lesions". Oncology Reports 15.4 (2006): 1033-1036.
Chicago
Megalopoulou, T. M., Koutroumbas, K., Pouliakis, A., Sivolapenko, G., Karakitsos, P."The potential of feature selection by statistical techniques and the use of statistical classifiers in the discrimination of benign from malignant gastric lesions". Oncology Reports 15, no. 4 (2006): 1033-1036. https://doi.org/10.3892/or.15.4.1033
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