References
- Li Z, Zhang X, Muller H, et al. Large-scale retrieval for medical image analytics: a comprehensive review[J]. Med Image Anal. 2018;43:66–72.
- MM, Rahman S, Antani GR. Thoma A classification-driven similarity matching framework for retrieval of biomedical images[C]. 11th ACM International Conference on Multimedia Information Retrieval, Philadelphia, USA; 2010. p.147–154.
- Shi X, Xing F, Xu K, et al. Supervised graph hashing for histopathology image retrieval and classification[J]. Med Image Anal. 2017;42:117–126.
- Bai X, Yang X, Latechi J. Learning context sensitive shape similarity by graph transduction[J]. IEEE Tran Pattern Anal Mach Intell 2010;32:861–874.
- Avni U, Greenspan H, Sharon M. X-ray image categorization and retrieval using patch-based visual words representation. Vol. 1. In Proceedings of IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Rotterdam, Netherlands; 2009. p. 350–353.
- Nowakova J. M. Prilepok, V. Snasel . Medical image retrieval using vector quantization and fuzzys-tree[J]. J Med Sys 2017;41:18.
- K, Rajakumar S. Muttan. Medical image retrieval using energy efficient wavelet transform[C]. Second International Conference on Computing, Communication and Networking Technologies, Wuzhen, China; 2010. p. 1–5.
- Sasi Kumar M, Kumaraswamy YS. An improved support vector machine kernel for medical image retrieval system[C]. Proceedings of the International Conference on Pattern Recognition, Informatics and Medical Engineering; 2012. p. 257–260.
- Yonggang H, Jun Z, Yongwang Z, et al. Medical image retrieval with query-dependent feature fusion based on one-class SVM[C]. 13th IEEE International Conference on Computational Science and Engineering, Faro, Portugal; 2010. p. 176–183.
- Liu Y, Rahul S, Steven CH. A boosting framework for visuality preserving distance metric learning and its application to medical image retrieval[J]. IEEE Trans Pattern Anal Mach Intell 2010;32(1):30–44.