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...

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Detalles Bibliográficos
Autores principales: Lin, Nan, Jiang, Junhai, Guo, Shicheng, Xiong, Momiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
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

Internet

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

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