D3FC: deep feature-extractor discriminative dictionary-learning fuzzy classifier for medical imaging
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-021-02781-w.pdf
Reference65 articles.
1. Aharon M, Elad M, Bruckstein A et al (2006) K-svd: an algorithm for designing overcomplete dictionaries for sparse representation. IEEE Trans Signal Process 54(11):4311
2. Chatfield K, Lempitsky VS, Vedaldi A, Zisserman A (2011) The devil is in the details: an evaluation of recent feature encoding methods. In: BMVC, vol 2, p. 8
3. Chen Y, Shi L, Feng Q, Yang J, Shu H, Luo L, Coatrieux JL, Chen W (2014) Artifact suppressed dictionary learning for low-dose ct image processing. IEEE Trans Med Imaging 33(12):2271– 2292
4. Chowdhary CL, Mittal M, Pattanaik P, Marszalek Z et al (2020) An efficient segmentation and classification system in medical images using intuitionist possibilistic fuzzy c-mean clustering and fuzzy svm algorithm. Sensors 20(14):3903
5. Clark K, Vendt B, Smith K, Freymann J, Kirby J, Koppel P, Moore S, Phillips S, Maffitt D, Pringle M et al (2013) The cancer imaging archive (tcia): maintaining and operating a public information repository. J Digit Imaging 26(6):1045–1057
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