Open AccessNEURAL NETWORK APPROACH TO THE PROBLEM OF IMAGE SEGMENTATION FOR MORPHOLOGICAL STUDIES
Author(s) -
Alexey V. Stadnik,
O. Streltsova,
D. Podgainy,
Ирина Аполлоновна Колесникова,
Yu. V. Butenko,
Andrey Nechaevskiy,
Anna Anikina,
T. Gudiev,
Artem Streltsov
Publication year - 2021
Publication title -
9th international conference "distributed computing and grid technologies in science and education"
Language(s) - English
Resource type - Conference proceedings
DOI - 10.54546/mlit.2021.82.36.001
Subject(s) - computer science , block (permutation group theory) , segmentation , image segmentation , artificial intelligence , artificial neural network , computer vision , image (mathematics) , pattern recognition (psychology) , mathematics , geometry
The report presents the results on the development of the algorithmic block of the Information System(IS) for radiobiological studies, created within a joint project of MLIT and LRB JINR, in terms ofsolving the segmentation problem for morphological research to study the effect of ionizing radiationon biological objects. The problem of automating the morphological analysis of histologicalpreparations is solved in the frames of the project by implementing algorithms based on a neuralnetwork approach and computer vision methods. The results of the investigations will be used in thedevelopment of the algorithmic block of the BIOHLIT information system.