Comparison of UNet, ENet, and BoxENet for Segmentation of Mast Cells in Scans of Histological Slices

Alexander Karimov, Artem Razumov, Ruslana Manbatchurina, Ksenia Simonova, I. V. Donets, Anastasia Vlasova, Yulia Khramtsova, Konstantin Ushenin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)
Original languageEnglish
Title of host publicationSIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages544-547
Number of pages4
ISBN (Electronic)9781728144016
DOIs
Publication statusPublished - Oct 2019
Event2019 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2019 - Novosibirsk, Russian Federation
Duration: 21 Oct 201927 Oct 2019

Publication series

NameSIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings

Conference

Conference2019 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2019
CountryRussian Federation
CityNovosibirsk
Period21/10/201927/10/2019

Keywords

  • biomedical segmentation
  • box convolution layer
  • ENet
  • mast cells
  • neural network performance
  • semantic segmentation
  • UNet

ASJC Scopus subject areas

  • Computer Science Applications
  • Hardware and Architecture
  • Information Systems and Management
  • Electrical and Electronic Engineering
  • Control and Optimization
  • Instrumentation
  • Computer Networks and Communications

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