Using classification and regression trees, liquid-based cytology and nuclear morphometry for the discrimination of endometrial lesions

Author:

Pouliakis Abraham1,Margari Charalampia2,Margari Niki1,Chrelias Charalampos3,Zygouris Dimitrios3,Meristoudis Christos1,Panayiotides Ioannis4,Karakitsos Petros1

Affiliation:

1. Department of Cytopathology; University of Athens; “ATTIKON” University Hospital; Athens Greece

2. Oncology Department; "Evaggelismos" Hospital; Athens Greece

3. 3rd Department of Obstetrics and Gynecology; University of Athens; “ATTIKON” University Hospital; Athens Greece

4. 2nd Department of Pathology; University of Athens; “ATTIKON” University Hospital; Athens Greece

Publisher

Wiley

Subject

General Medicine,Histology,Pathology and Forensic Medicine

Reference71 articles.

1. The effect of sodium molybdate on the cytoplasmic estrogen and progesterone receptors in human endometrial tissues;Shyamala;Diagn Gynecol Obstet,1981

2. Estrogen induces insulin-like growth factor-I expression in the rat uterus;Murphy;Mol Endocrinol,1987

3. Potential of the back propagation neural network in the morphologic examination of thyroid lesions;Karakitsos;Anal Quant Cytol Histol,1996

4. Classification of individual lung cancer cell lines based on DNA methylation markers: Use of linear discriminant analysis and artificial neural networks;Marchevsky;J Mol Diagn,2004

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