@inproceedings{NechyporenkoHubarenkoHubarenkoetal.2022, author = {Nechyporenko, Alina and Hubarenko, Yevhen and Hubarenko, Maryna and Kalnytska, Violeta and Alekseeva, Victoriia and Gargin, Vitaliy}, title = {Automatic Creation of Masks for Marking Histological Images of the Epithelium of the Paranasal Sinuses}, series = {Proceedings of the 5th International Conference on Informatics \& Data-Driven Medicine, Lyon, France, November 18 - 20, 2022}, volume = {3302}, booktitle = {Proceedings of the 5th International Conference on Informatics \& Data-Driven Medicine, Lyon, France, November 18 - 20, 2022}, editor = {Shakhovska, Nataliya and Chr{\´e}tien, St{\´e}phane and Izonin, Ivan and Campos, Jaime}, publisher = {RWTH Aachen}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-19024}, pages = {108 -- 119}, year = {2022}, 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} }