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

Volumn 15, Issue 4, 2006, Pages 1033-1036

  Megalopoulou, Tatiana Mona ^a   Koutroumbas, Konstantinos ^b   Pouliakis, Abraham ^a   Sivolapenko, Gregory ^c   Karakitsos, Petros ^a,d  

^a UNIVERSITY OF ATHENS MEDICAL SCHOOL   (Greece)

^b NATIONAL OBSERVATORY OF ATHENS   (Greece)

^c UNIVERSITY OF ATHENS   (Greece)

^d NATIONAL AND KAPODISTRIAN UNIVERSITY OF ATHENS   (Greece)

Author keywords

Bayesian classifier; Combined neural network; Discriminant analysis; Feedforward neural network; Gastric lesions; Linear classifier; Morphometry; Quantitative cytology

Indexed keywords

ANTHROPOMETRY; ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOPSY; DIFFERENTIAL DIAGNOSIS; EVALUATION; HUMAN; PATHOLOGY; STOMACH DISEASE; STOMACH TUMOR;

ANTHROPOMETRY; BIOPSY; DIAGNOSIS, DIFFERENTIAL; HUMANS; NEURAL NETWORKS (COMPUTER); STOMACH DISEASES; STOMACH NEOPLASMS;

EID: 33645769518     PISSN: 1021335X     EISSN: 17912431     Source Type: Journal    
DOI: 10.3892/or.15.4.1033     Document Type: Article

References (10)

1. Kasugai T and Kobayashi S: Evaluation of biopsy and cytology in the diagnosis of gastric cancer. Am J Gastrenterol 62: 199-203, 1974.
2. Boon ME, Kurver PHJ, Baak JPA, et al : The application of morphometry in gastric cytological diagnosis. Virchows Arch 393: 159-164, 1981. (Pubitemid 11015809)
3. Wolfe P, Murphy J, McGinley J, et al : Using nuclear morphometry to discriminate the tumorigenic potential of cells: a comparison of statistical methods. Cancer Epidemiol Biomarkers Prev 13: 976-988, 2004. (Pubitemid 38756708)
4. Karakitsos P, Megalopoulou TM, Pouliakis A, Tzivras M, Archimandritis A and Kyroudes A: The application of discriminant analysis and quantitative cytological examination of gastric lesions. Anal Quant Cytol Histol 26: 314-322, 2004. (Pubitemid 40023966)
5. Karakitsos P, Pouliakis A, Koutroumbas K, Botsoli-Stergiou E, Tzivras M, Archimandritis A and Ioakim-Liossi A: Neural network application in the discrimination of benign from malignant gastric cells. Anal Quant Cytol Histol 22: 63-69, 2000. (Pubitemid 30106508)
6. Karakitsos P, Botsoli-Stergiou E, Pouliakis A, Tzivras M, Archimandritis A, Liossi A and Kyrkou K: Comparative study of artificial neural networks in the discrimination of benign from malignant gastric cells. Anal Quant Cytol Histol 19: 145-152, 1997. (Pubitemid 27176391)
7. Pitas I: Digital Image Processing Algorithms. Prentice-Hall, London, 1993.
8. Sonka M, Hlavac V and Boyle R: Image Processing Analysis and Machine Vision. Chapman & Hall, 1994.
9. Hair JF Jr, Anderson RE, Tatham RL and Black WC: Multivariate Data Analysis. 5th edition. Prentice-Hall International, Inc., London, 1998.
10. Hastie T, Tibshirani R and Friedman J: The Elements of Statistical Learning. Springer, New York, 2001.