Загрузка...
Multi-Object Portion Tracking in 4D Fluorescence Microscopy Imagery with Deep Feature Maps
3D fluorescence microscopy of living organisms has increasingly become an essential and powerful tool in biomedical research and diagnosis. An exploding amount of imaging data has been collected, whereas efficient and effective computational tools to extract information from them are still lagging b...
Сохранить в:
| Опубликовано в: : | Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit |
|---|---|
| Главные авторы: | , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
2020
|
| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7304548/ https://ncbi.nlm.nih.gov/pubmed/32565667 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/cvprw.2019.00142 |
| Метки: |
Добавить метку
Нет меток, Требуется 1-ая метка записи!
|