@article{Nikitaev_Davydov_Nagornov_Selchuk_Pronichev_Petrovichev_Zaytsev_Pavlovskaya_Polyakov_Rotin_Dmitrieva_Druzhinina_Korenevskaya_Neskreba_2018, title={System Approach to the Development of Intelligent Complexes of Oncological Diagnostics}, volume={3}, url={https://knepublishing.com/index.php/KnE-Energy/article/view/1828}, DOI={10.18502/ken.v3i2.1828}, abstractNote={<p class="p1">The system approach to the development of intellectual complexes in cancer diagnosis are discussed in the article. Distinctive features of this approach: the participation of pathologist at the stage of description of recognizable images (the description is based on traditional assessments of quality informative features of tumors); the set of the most similar probabilistic diagnoses is forming on the classification stage of recognition; final histological diagnosis is made by pathologist. The proposed approach has been successfully tested in clinical practice.</p> <p class="p1"><span class="s1">Keywords: </span>image processing, image description, image classification, pattern recognition, qualitative attributes of tumor images, interactive recognition, cancer diagnosis, decision support system</p&gt;}, number={2}, journal={KnE Energy}, author={Nikitaev, V G and Davydov, M I and Nagornov, O V and Selchuk, V Y and Pronichev, A N and Petrovichev, N N and Zaytsev, S M and Pavlovskaya, A I and Polyakov, E V and Rotin, D L and Dmitrieva, V V and Druzhinina, E A and Korenevskaya, P Y and Neskreba, A K}, year={2018}, month={Apr.}, pages={311–316} }