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Low Dimensional Representation of Fisher Vectors for Microscopy Image Classification
2017
IEEE Transactions on Medical Imaging
Microscopy image classification is important in various biomedical applications, such as cancer subtype identification and protein localization for high content screening. To achieve automated and effective microscopy image classification, the representative and discriminative capability of image feature descriptors is essential. To this end, in this study we propose a new feature representation algorithm to facilitate automated microscopy image classification. In particular, we incorporate
doi:10.1109/tmi.2017.2687466
pmid:28358678
fatcat:rq76wyzscbgl3j3ajpjvqrsnmu