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Functional Principal Component Analysis and Randomized Sparse Clustering Algorithm for Medical Image Analysis
Due to the advancement in sensor technology, the growing large medical image data have the ability to visualize the anatomical changes in biological tissues. As a consequence, the medical images have the potential to enhance the diagnosis of disease, the prediction of clinical outcomes and the chara...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2015
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4510534/ https://www.ncbi.nlm.nih.gov/pubmed/26196383 http://dx.doi.org/10.1371/journal.pone.0132945 |