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A Data-Centric Augmentation Approach for Disturbed Sensor Image Segmentation
In the context of sensor-based data analysis, the compensation of image artifacts is a challenge. When the structures of interest are not clearly visible in an image, algorithms that can cope with artifacts are crucial for obtaining the desired information. Thereby, the high variation of artifacts,...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8539458/ https://www.ncbi.nlm.nih.gov/pubmed/34677292 http://dx.doi.org/10.3390/jimaging7100206 |