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Segment-then-Segment: Context-Preserving Crop-Based Segmentation for Large Biomedical Images
Medical images are often of huge size, which presents a challenge in terms of memory requirements when training machine learning models. Commonly, the images are downsampled to overcome this challenge, but this leads to a loss of information. We present a general approach for training semantic segme...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9866819/ https://www.ncbi.nlm.nih.gov/pubmed/36679429 http://dx.doi.org/10.3390/s23020633 |