@article{Nikitaev_Pronichev_Selchuk_Tavrina_Dmitrieva_Polyakov_Druzhinina_2018, title={Intellectual Information and Training System for Software and Hardware Complexes of Morphological Diagnostics of Esophageal Tumors}, volume={3}, url={https://knepublishing.com/index.php/KnE-Energy/article/view/1833}, DOI={10.18502/ken.v3i2.1833}, abstractNote={<p class="p1">The aim of the work is to create a system of formalizing knowledge in the histological diagnosis of esophageal tumors and systematic transfer of knowledge to less experienced specialists. It is also a system that will provide support in making a decision in a histological diagnosis.</p> <p class="p1"><span class="s1">Keywords: </span>esophagus, morphological, automatic work place, system of support for the solution</p&gt;}, number={2}, journal={KnE Energy}, author={Nikitaev, V G and Pronichev, A N and Selchuk, V Y and Tavrina, N S and Dmitrieva, V V and Polyakov, E V and Druzhinina, E A}, year={2018}, month={Apr.}, pages={339–344} }