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A dual autoencoder and singular value decomposition based feature optimization for the segmentation of brain tumor from MRI images
BACKGROUND: The brain tumor is the growth of abnormal cells inside the brain. These cells can be grown into malignant or benign tumors. Segmentation of tumor from MRI images using image processing techniques started decades back. Image processing based brain tumor segmentation can be divided in to t...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8117624/ https://www.ncbi.nlm.nih.gov/pubmed/33985449 http://dx.doi.org/10.1186/s12880-021-00614-3 |