Functional Principal Component Analysis and Randomized Sparse Clustering Algorithm for Medical Image Analysis
نویسندگان
چکیده
منابع مشابه
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 characterization of disease progression. But in the meantime, the growing data dimensions pose great m...
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ژورنال
عنوان ژورنال: PLOS ONE
سال: 2015
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0132945