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| Auteurs principaux: | , , , |
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| Format: | Preprint |
| Publié: |
2024
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| Sujets: | |
| Accès en ligne: | https://arxiv.org/abs/2404.10319 |
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| _version_ | 1866929315501834240 |
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| author | Afonchikov, Danil Kornaeva, Elena Makovik, Irina Kornaev, Alexey |
| author_facet | Afonchikov, Danil Kornaeva, Elena Makovik, Irina Kornaev, Alexey |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_10319 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Application of Deep Learning Methods to Processing of Noisy Medical Video Data Afonchikov, Danil Kornaeva, Elena Makovik, Irina Kornaev, Alexey Computer Vision and Pattern Recognition Machine Learning 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. |
| title | Application of Deep Learning Methods to Processing of Noisy Medical Video Data |
| topic | Computer Vision and Pattern Recognition Machine Learning |
| url | https://arxiv.org/abs/2404.10319 |