Diabetes and Retinopathy Computer Assisted Diagnosis Volume 2 1st Edition by Ayman El Baz, Jasjit Suri 0128174390 9780128174395

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Product details:

ISBN-10 :  0128174390 

ISBN-13 :  9780128174395

Author :  Ayman S. El-Baz, Jasjit S. Suri 

Diabetes and Retinopathy brings together the multifaceted information about the research and clinical application from academic, clinical, bioengineering and bioinformatics perspectives. The editors bring together a stellar cast of authors to pull together this diverse and interesting field. Academic researchers, bioengineers, new investigators and students interested in diabetes and retinopathy need an authoritative reference to bring this multidisciplinary field together to reduce the amount of time spent on source-searching and more time on actual research and the clinical application. This reference depicts the current clinical understanding of DR as well as the many scientific advances in understanding this condition.

Diabetes and Retinopathy: Computer-Assisted Diagnosis Volume 2 1st Table of contents:

1: Complementary capabilities of photoacoustic imaging to existing optical ocular imaging techniques
Abstract
2: Intraretinal fluid map generation in optical coherence tomography images
Abstract
Acknowledgments
1 Introduction
2 Optical coherence tomography: Background and significance
3 The classical segmentation approach
4 Fluid identification by means of a regional analysis
5 Discussion and conclusions
3: Fully automated identification and clinical classification of macular edema using optical coherence tomography images
Abstract
Acknowledgments
1 Background and significance
2 Computational identification and characterization of the MEs
3 Results and discussion
4 Conclusions
4: Optimal surface segmentation with subvoxel accuracy in spectral domain optical coherence tomography images
Abstract
1 Introduction
2 Methods
3 Experimental methods
4 Results
5 Discussion and conclusions
5: Analysis of optical coherence tomography images using deep convolutional neural network for maculopathy grading
Abstract
1 Introduction
2 Retinal imaging modalities
3 Dataset description
4 TU-Net: A deep CNN architecture for maculopathy grading
5 Results and discussion
6 Conclusion
6: Segmentation of retinal layers from OCT scans
Abstract
1 Introduction
2 Method
3 Experimental results
4 Conclusion
7: Low-complexity computer-aided diagnosis for diabetic retinopathy
Abstract
1 Introduction
2 Related work
3 Low-complexity CNN for diabetic retinopathy
4 Experimental results
5 Discussion
6 Conclusion
8: Ophthalmic optical coherence tomography angiography in diabetes
Abstract
1 Introduction
2 Qualitative and quantitative changes in ophthalmic blood vessels in diabetes detected by OCTA
3 Relevance of findings of OCTA studies concerning pathophysiology of DR
4 Conclusion
9: Early detection of diabetics using retinal OCT images
Abstract
Acknowledgment
1 Introduction
2 Traditional methods for early detection and assessment of diabetes
3 Optical coherence tomography
4 Early detection of diabetes using retinal OCT images
5 Discussion and conclusions
10: A noninvasive approach for the early detection of diabetic retinopathy
Abstract
1 Introduction
2 Methods
3 Results
4 Validation
5 Conclusion

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Diabetes,Retinopathy,Computer Assisted,Ayman El Baz,Jasjit Suri