Livelayer: A Semi-Automatic Software for Segmentation of Layers and Objects in Optical Coherence Tomography Images.

2020 
The Ophthalmology Science has recently witnessed marked progress due to the advent of divergent imaging techniques, especially Optical Coherence Tomography (OCT) which has caught many physicians' attention for being exact, rapid, non-invasive and low-cost. Given these interesting features of OCTs as well as the capacity to display symptoms of a wide variety of eye diseases and neurological disorders, the need for OCT image segmentation and the corresponding data interpretation is felt more than ever before. In this paper, we wish to address this need and solve the difficulties associated with OCT image segmentation by offering a handy software written in the MATLAB App Designer environment which helps researchers and clinicians to easily segment the images, save the numerical outcomes and send them for proper analysis. Serving an unambiguous user interface along with a unified platform in which all necessary functions have been incorporated graphically has made this software so unique that it could be recommended to anyone tending to work on ocular OCT layers and fluid segmentation. The software also accommodates a novel graph-based semi-automatic method, called Livelayer and designed for straightforward segmentation of retinal layers and fluids.
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