Early cancers detection by means of smartphone with semi-supervised learning that may minimize False Negative Rate (FNR)

Author:

Szu Harold,Miao Lidan,Luigi Perrone Antonio

Publisher

MedCrave Group Kft.

Subject

General Medicine

Reference11 articles.

1. Yann LeCun, Yoshua Bengio & Geoffrey Hinton, "Deep learning," Nature. 2000;521:436-444.

2. Szu, H, Miao, L. Qi, H., "Thermodynamic free-energy minimization for unsupervised fusion of dual-color infrared breast images, Proc. SPIE Independent Component Analyses, Wavelets, Unsupervised Smart Sensors, and Neural Networks, Vol. 6247, April 2006; Lidan Miao, Hairong Qi, Harold Szu: A Maximum Entropy Approach to Unsupervised Mixed-PixelDecomposition. IEEE Transactions on Image Processing. 2006;16(4):1008-1021.Lidan Miao, Hairong Qi, Harold Szu: Unsupervised Decomposition of Mixed Pixels Using the Maximum Entropy Principle. ICPR (1) 2006:1067-1070.

3. Harold Szu, Philip Hoekstra, Joseph Landa, et al."Neo-angiogenesis metabolic biomarker of tumor-genesis tracking by infrared joystick contact imaging in personalized homecare system," SPIE Sensing Technology& Applications, 2014.

4. Artificial neural networks for noisy image super-resolution, Harold Szu, Ivica Kopriva. 2001.

5. Kenneth Byrd, Harold Szu, "Design of a cylindrical fiber-optic lens focusing passive dual-color IR spectra and readout," 2007.

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