CP-CHARM: segmentation-free image classification made accessible
Automated classification using machine learning often relies on features derived from segmenting individual objects, which can be difficult to automate. WND-CHARM is a previously developed classification algorithm in which features are computed on the whole image, thereby avoiding the need for segme...
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Published in | BMC bioinformatics Vol. 17; no. 1; p. 51 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
England
BioMed Central Ltd
27.01.2016
BioMed Central |
Subjects | |
Online Access | Get full text |
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