Page 34 - Handbook of Deep Learning in Biomedical Engineering Techniques and Applications

22 Chapter 1 Congruence of deep learning in biomedical engineering

References

[1] S. Akolkar, Secure Payment System Using Steganography and Visual
Cryptography, 2016.
[2] Ravindra Reddy, The Process of Encoding and Decoding of Image
Steganography Using LSB Algorithm, 2012.
[3] Della Baby, Novel DWT Based Image Securing Method Using
Steganography, 2014.
[4] Biology Depart, Steganography Methods and Some Application, 2009.
[5] H. Houssein, An Image Steganography Algorithm Using HAAR Discrete
Wavelet Transform with Advanced Encryption System, 2013.
[6] AlsharifAbuuadbba, Wavelet Based Steganography Technique to Protect
Household Confidential Information and Seal the Transmitted Smart Grid
Reading, 2014.
[7] M. Srinivas, C. Krishna Mohan, Medical image indexing and retrieval using
multi-feature extraction method, in: Proc. IEEE Int. Conf. on Computational
Intelligence and Information Technology (CIIT) (Elsevier), Mumbai, October
2013.
[8] M. Srinivas, C. Krishna Mohan, Efficient clustering approach using
incremental and hierarchical clustering methods, in: Proc. IEEE Int. Conf.
On International Joint Conference on Neural Networks (IJCNN), Barcelona,
July 2010.
[9] T. Guha, R. Ward, A sparse reconstruction based algorithm for image and
video classification, in: Proc. IEEE Conf. on Acoustics, Speech and Signal
Processing (ICASSP), 2012, pp. 3601e3604.
[10] D. Brezeale, D. Cook, Automatic video classification: a survey of the
literature, IEEE Trans. Syst. Man Cybern. C App. Rev. 38 (3) (May 2008)
416e430.
[11] M. Xiang, D. Schonfeld, A.A. Khokhar, Video event classification and image
segmentation based on non causal multidimensional hidden Markov
models, IEEE Trans. Image Proc. 18 (6) (June 2009) 1304e1313.
[12] A.W.M. Smeulder, M. Worring, S. Santini, A. Gupta, R. Jain, Content based
image retrieval at the end of the early years, IEEE Trans. Pattern Anal.
Mach. Intell. 22 (12) (2000) 1349e1380.
[13] W. Cai, D. Feng, R. Fulton, Content-based retrieval of dynamic PET
functional images, IEEE Trans. Inf. Technol. Biomed. 4 (2) (June 2000)
152e158.
[14] H. Pourghassem, H. Ghassemian, Content based medical image
classification using a new hierarchical merging scheme, Comput. Med.
Imag. Graph. 32 (8) (2008) 651e661.
[15] B. Krawczyk, G. Schaefer, Ensemble fusion methods for medical data
classification, in: Proc. IEEE Int. Symposium. Neural Network Applications
in Electrical Engineering (NEUREL), 20e22 September 2012, pp. 143e146.
[16] F. Peng, L. Li, W. Xu, W. Liu, J. Zhang, G. Shao, The identification of breast
mass based on multi agent interactive information fusion method, in: Proc.
of IEEE Int. Conf. Bioinformatics and Biomedical Engineering, 7 (June
2009), 11e13.
[17] T. Mitchell, Mach. Learn. Vol. 3.
[18] Bengio, Practical recommendations for gradient-based training of deep
architectures (PhD Thesis), in: Sutskever (Ed.), 2013. Training Recurrent
Neural Networks, 2012.