Fog Computing Employed Computer Aided Cancer Classification System Using Deep Neural Network in Internet of Things Based Healthcare System-Reference-Cited by-同舟云学术

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Fog Computing Employed Computer Aided Cancer Classification System Using Deep Neural Network in Internet of Things Based Healthcare System

Published:2019-12-18 Issue:2 Volume:44 Page:
ISSN:0148-5598
Container-title:Journal of Medical Systems
language:en
Short-container-title:J Med Syst

Author:

Rajan J. Pandia,Rajan S. Edward,Martis Roshan Joy,Panigrahi B. K.

Publisher

Springer Science and Business Media LLC

Subject

Health Information Management,Health Informatics,Information Systems,Medicine (miscellaneous)

Link

http://link.springer.com/content/pdf/10.1007/s10916-019-1500-5.pdf

Reference28 articles.

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2. Zhang, K., Wangmeng, Z., Chen, Y., Meng, D., and Zhang, L., Beyond a Gaussian Denoiser: Residual learning of deep CNN for image Denoising. IEEE Trans. on Image Processing 26(7):3142–3155, 2017.

3. Gupta, D., Nonsubsampled shearlet domain fusion techniques for CT–MR neurological images using improved biological inspired neural model. Biocybernetics and Biomedical Engineering 38(2):262–274, 2018.

4. Erfani, S. M., Rajasegarar, S., Karunasekera, S., and Leckie, C., High-dimensional and large-scale anomaly detection using a linear one-class SVM with deep learning. Pattern Recognition 58(1):121–134, 2016.

5. Chen, L., Papandreou, G., Kokkinos, I., Murphy, K., and Yuille, A. L., DeepLab: Semantic image segmentation with deep convolutional nets, Atrous convolution, and fully connected CRFs. IEEE Trans. on Pattern Analysis & Machine Intelligence 40(4):834–848, 2018.

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