Evaluation of Deep Learning Topcoders Method for Neuron Individualization in Histological Macaque Brain Section*

@article{Wu2021EvaluationOD,
  title={Evaluation of Deep Learning Topcoders Method for Neuron Individualization in Histological Macaque Brain Section*},
  author={Huaqian Wu and Nicolas Souedet and Zhenzhen You and Caroline Jan and C{\'e}dric Clouchoux and Thierry Delzescaux},
  journal={2021 43rd Annual International Conference of the IEEE Engineering in Medicine \& Biology Society (EMBC)},
  year={2021},
  pages={2985-2988}
}
  • Huaqian Wu, N. Souedet, T. Delzescaux
  • Published 1 November 2021
  • Computer Science
  • 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
Cell individualization has a vital role in digital pathology image analysis. Deep Learning is considered as an efficient tool for instance segmentation tasks, including cell individualization. However, the precision of the Deep Learning model relies on massive unbiased dataset and manual pixel-level annotations, which is labor intensive. Moreover, most applications of Deep Learning have been developed for processing oncological data. To overcome these challenges, i) we established a pipeline to… 

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