Application of Deep Learning Methods to Processing of Noisy Medical Video Data
<|reference_start|>Application of Deep Learning Methods to Processing of Noisy Medical Video Data: Cells count become a challenging problem when the cells move in a continuous stream, and their boundaries are difficult for visual detection. To resolve this problem we modified the training and decision making processes using curriculum learning and multi-view predictions techniques, respectively.<|reference_end|>
@article{afonchikov2024application,
    title={Application of Deep Learning Methods to Processing of Noisy Medical
  Video Data},
    author={Danil Afonchikov, Elena Kornaeva, Irina Makovik, Alexey Kornaev},
    journal={arXiv preprint arXiv:2404.10319},
    year={2024},
    archivePrefix={arXiv},
    eprint={2404.10319},
    primaryClass={cs.CV cs.LG}
}