Optical coherence tomography: A review
Diabetes and Fundus OCT, Page: 191-221
2020
- 14Citations
- 166Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Book Chapter Description
Optical coherence tomography (OCT) is a noninvasive imaging technique that has been used increasingly to diagnose and manage a variety of retinal diseases. OCT enables micrometer-resolution retinal imaging both at the optic nerve head and the macula. It has become an established imaging modality in ophthalmology. Retinal layer segmentation from OCT is of fundamental importance for measuring retinal layer thicknesses, a measurement that correlates well with the severity of different ocular diseases. Hence, it provides useful diagnostic information concerning possible diseases. Nowadays, OCT is being a widely used technique for detecting retinal disorders due to its ability to detect small changes in retinal layers. This chapter summarizes some of the current techniques that use OCT to detect and diagnose different retinal diseases. This chapter also outlines some of the challenges that researchers face dealing with the images developed by OCT.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/B9780128174401000073; http://dx.doi.org/10.1016/b978-0-12-817440-1.00007-3; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85088649446&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/B9780128174401000073; https://api.elsevier.com/content/article/PII:B9780128174401000073?httpAccept=text/xml; https://api.elsevier.com/content/article/PII:B9780128174401000073?httpAccept=text/plain; https://dul.usage.elsevier.com/doi/; https://dx.doi.org/10.1016/b978-0-12-817440-1.00007-3
Elsevier BV
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know