Neural network approach to the problem of image segmentation for morphological studies at LRB JINR

9 Jul 2021, 11:00
15m
407 or Online - https://jinr.webex.com/jinr/j.php?MTID=m573f9b30a298aa1fc397fb1a64a0fb4b

407 or Online - https://jinr.webex.com/jinr/j.php?MTID=m573f9b30a298aa1fc397fb1a64a0fb4b

https://jinr.webex.com/jinr/j.php?MTID=m573f9b30a298aa1fc397fb1a64a0fb4b
Sectional reports 9. Big data Analytics and Machine learning Big data Analytics and Machine learning.

Speaker

Oksana Streltsova (Meshcheryakov Laboratory of Information Technologies, JINR)

Description

The report will present 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 of solving the segmentation problem for morphological research to study the effect of ionizing radiation on biological objects. The problem of automating the morphological analysis of histological preparations is solved in the frames of the project by implementing algorithms based on the neural network approach and computer vision methods.
The results of the investigations will be used in the development of the algorithmic block of the BIOHLIT information system.

Primary authors

Anastasia Anikina (Meshcheryakov Laboratory of Information Technologies, JINR) Yuri Butenko (Meshcheryakov Laboratory of Information Technologies, JINR) T.V. Gudiev (Regional Scientific and Educational Mathematical Center, North Ossetian State University (NOSU)) Inna Kolesnikova (Laboratory of radiation biology, JINR) Andrey Nechaevskiy (Meshcheryakov Laboratory of Information Technologies, JINR) Dmitry Podgainy (Meshcheryakov Laboratory of Information Technologies, JINR) Alexey Stadnik (Meshcheryakov Laboratory of Information Technologies, JINR) Oksana Streltsova (Meshcheryakov Laboratory of Information Technologies, JINR) A.I. Streltsov (SAP SE, Germany)

Presentation materials

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