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Grayscale medical image segmentation method based on 2D&3D object detection with deep learning
BACKGROUND: Grayscale medical image segmentation is the key step in clinical computer-aided diagnosis. Model-driven and data-driven image segmentation methods are widely used for their less computational complexity and more accurate feature extraction. However, model-driven methods like thresholding...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8883636/ https://www.ncbi.nlm.nih.gov/pubmed/35220942 http://dx.doi.org/10.1186/s12880-022-00760-2 |