@inproceedings{ReshetnikAlekseevaDevosetal.2023, author = {Reshetnik, Viktor and Alekseeva, Victoriia and Devos, Anastasiia and Nazaryan, Rosana and Gargin, Vitaliy and Nechyporenko, Alina}, title = {Implementation of the Uncertainty Calculation for the Detection of Negative Effect of Smoking on the Bone Density of Paranasal Sinuses}, series = {Proceedings of the 3rd International Workshop of IT-professionals on Artificial Intelligence, ProfIT AI 2023, Waterloo, Canada, November 20-22, 2023}, booktitle = {Proceedings of the 3rd International Workshop of IT-professionals on Artificial Intelligence, ProfIT AI 2023, Waterloo, Canada, November 20-22, 2023}, number = {3641}, editor = {Chumachenko, Dmytro and Kaur, Jasleen and Yakovlev, Sergiy and Morita, Plinio P.}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-19140}, pages = {276 -- 283}, year = {2023}, abstract = {The aim was to implement uncertainty calculation for detecting the negative effects of smoking on the bone density of the paranasal sinus. Materials and Methods: A total of 100 male participants aged 20 to 44 were included in the study and divided into two groups. The first group comprised individuals with minimal harmful habits, while the second group consisted of individuals who had been smoking for at least 10 years, consuming 1 to 2 packs of cigarettes per day. Results Bone density has a negative impact on the bone tissue of the upper wall of the maxillary sinus. The findings suggest that individuals with a pronounced decrease in minimum density, as well as those with a marked difference between minimum and maximum density values, may require heightened medical attention due to potential associations with undiagnosed diseases or specific structural characteristics in the skull. Conclusions. The uncertainty calculation was implemented for the detection of negative effect of smoking on the bone density of paranasal sinuses. The calculated difference between maximum and minimum density during the research suggests significant medical implications, especially considering the heterogeneity of the trabecular bone structure in the skull. Individuals with a marked difference may require heightened medical attention, potentially associated with undiagnosed diseases or specific structural characteristics in the skull.}, language = {en} } @inproceedings{NechyporenkoReshetnikDzyzaetal.2023, author = {Nechyporenko, Alina and Reshetnik, Viktor and Dzyza, Alla and Alekseeva, Victoriia and Lupyr, Andrii and Gargin, Vitaliy}, title = {The Peculiarities of Measuring Bone Density in Males and Females Using Uncertainty Calculation}, series = {Proceedings of the 6th International Conference on Informatics \& Data-Driven Medicine, Bratislava, Slovakia, November 17-19, 2023}, volume = {3609}, booktitle = {Proceedings of the 6th International Conference on Informatics \& Data-Driven Medicine, Bratislava, Slovakia, November 17-19, 2023}, editor = {Shakhovska, Nataliya and Kov{\´a}c, Michal and Izonin, Ivan and Chr{\´e}tien, St{\´e}phane}, publisher = {RWTH Aachen}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-19116}, pages = {249 -- 254}, year = {2023}, abstract = {The article discusses the approach to solving the problem of reducing time spent on the preparation of medical images for teaching neural networks, by reducing the time of creating masks for images. The task is considered on the example of processing images of the mucous membrane of the paranasal sinus. The specifics of the task did not allow effectively using existing software solutions. During the study, a software solution was proposed, which made it possible to radically reduce the time of creating masks for images. The article also analyzes the shortcomings of the automated creation of masks, as well as the directions of their solution. The loss of time due to the adjustment of the color palette can be reduced even more to 1-2 minutes, the average deviation is 7.61\%.}, language = {en} } @inproceedings{RadutnyNechyporenkoAlekseevaetal.2021, author = {Radutny, Radiy and Nechyporenko, Alina and Alekseeva, Victoriia and Yurevych, Nadiia and Lupyr, Andrii and Gargin, Vitaliy}, title = {Complex Automatic Evaluation of the Medical Images of the Paranasal Sinuses}, series = {Proceedings of the 4th International Conference on Informatics \& Data-Driven Medicine, Valencia, Spain, November 19 - 21, 2021}, booktitle = {Proceedings of the 4th International Conference on Informatics \& Data-Driven Medicine, Valencia, Spain, November 19 - 21, 2021}, editor = {Shakhovska, Nataliya and Salazar, Addisson and Izonin, Ivan and Campos, Jaime}, publisher = {RWTH Aachen}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-19010}, pages = {182 -- 189}, year = {2021}, abstract = {Evaluation of medical images is of key importance in the work of medical staff today. Especially this problem pays important role in otolaryngology. The aim of our work was to develop an automatic complex method for assessing the state of the human paranasal sinuses. Our research included 10 people of different sex and age, who were divided into groups, taking into account the recommendations of the WHO for 2019-2021. The structure of the mucous membrane of the maxillary sinus were calculated and compared. In the course of our research, an algorithm was developed for the automatic assessment of the state of the mucous membrane of the maxillary sinus and its bone walls according to the data of the spiral computed tomography. The difference between obtained data in the manual and automatic mode is minimal.}, language = {en} }