OCT Segmentation Survey and Summary Reviews and a Novel 3D Segmentation Algorithm and a Proof of Concept Implementation
Serguei A. Mokhov, Yankui Sun

TL;DR
This paper reviews existing OCT segmentation methods, introduces a novel flexible 3D segmentation algorithm aimed at improving speed and accuracy, and presents a proof of concept implementation with experimental results.
Contribution
It provides a comprehensive survey of OCT segmentation techniques and proposes a new 3D segmentation algorithm with a prototype implementation.
Findings
The survey summarizes key OCT segmentation approaches.
The novel algorithm demonstrates promising speed and accuracy.
Initial experimental results support the algorithm's potential.
Abstract
We overview the existing OCT work, especially the practical aspects of it. We create a novel algorithm for 3D OCT segmentation with the goals of speed and/or accuracy while remaining flexible in the design and implementation for future extensions and improvements. The document at this point is a running draft being iteratively "developed" as a progress report as the work and survey advance. It contains the review and summarization of select OCT works, the design and implementation of the OCTMARF experimentation application and some results.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsOptical Coherence Tomography Applications · Retinal Imaging and Analysis · Retinal Diseases and Treatments
