Segmentation of nucleus based on dynamic convolution and deep features of stain distribution
Abstract Analysis of the pathology image is important to diagnose cancer of lung, breast and stomach. Segmenting the nucleus is a key step for quantitative analysis, and has significance to the pathology researches and computer aided diagnosis systems. The inconsistency of colour, fuzzy boundary of...
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| Главные авторы: | , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Wiley
2024-03-01
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| Серии: | IET Image Processing |
| Предметы: | |
| Online-ссылка: | https://doi.org/10.1049/ipr2.12996 |
| Метки: |
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