A System for the Differential Diagnosis of Malignant Tumors of the Adnexa of the Uterus Based on a Neural Network


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Abstract

We present here the results of developing a complex method for the differential diagnosis of malignant tumors of the uterine adnexa which was used as the basis for the “Risk Ovarian Cancer v.2.2” computer system. Measures of the sensitivity and specificity of this system and the potential for its use are presented.

About the authors

A. N. Narkevich

Krasnoyarsk State Medical University

Author for correspondence.
Email: narkevichart@gmail.com
Russian Federation, Krasnoyarsk

E. A. Borisova

OOO Medico-Profi

Email: narkevichart@gmail.com
Russian Federation, Krasnoyarsk

T. A. Makarenko

Krasnoyarsk State Medical University

Email: narkevichart@gmail.com
Russian Federation, Krasnoyarsk

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