NEURAL NETWORK APPROACH TO THE PROBLEM OF IMAGE SEGMENTATION FOR MORPHOLOGICAL STUDIES

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.