1. Voxeleron

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    1. Mentioned In 20 Articles

    2. Automated Deep Learning-based Multi-class Fluid Segmentation in Swept-Source Optical Coherence Tomography Images

      Automated Deep Learning-based Multi-class Fluid Segmentation in Swept-Source Optical Coherence Tomography Images
      Purpose: To evaluate the performance of a deep learning-based, fully automated, multi-class, macular fluid segmentation algorithm relative to expert annotations in a heterogeneous population of confirmed wet age-related macular degeneration (wAMD) subjects. Methods: Twenty-two swept-source optical coherence tomography (SS-OCT) volumes of the macula from 22 from different individuals with wAMD were manually annotated by two expert graders. These results were compared using cross-validation (CV) to automated segmentations using a deep ...
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    3. Method and apparatus for generation or editing of layer delineations

      Method and apparatus for generation or editing of layer delineations
      Methods are disclosed for the generation and editing of layer delineations within three-dimensional tomography scans. Cross sections of a subject are generated and presented to an operator, who has the ability to edit layer delineations within the cross section, or determine parameters used to generate new cross sections. By guiding an operator through a set of displayed cross sections, the methods can allow for a more rapid, efficient, and error-free ...
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    4. Deep Learning for Prediction of AMD Progression: A Pilot Study

      Deep Learning for Prediction of AMD Progression: A Pilot Study
      Purpose : To develop and assess a method for predicting the likelihood of converting from early/intermediate to advanced wet age-related macular degeneration (AMD) using optical coherence tomography (OCT) imaging and methods of deep learning. Methods : Seventy-one eyes of 71 patients with confirmed early/intermediate AMD with contralateral wet AMD were imaged with OCT three times over 2 years (baseline, year 1, year 2). These eyes were divided into two groups ...
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    5. Changes in volume of various retinal layers over time in early and intermediate age-related macular degeneration

      Changes in volume of various retinal layers over time in early and intermediate age-related macular degeneration
      Purpose To evaluate longitudinally volume changes in inner and outer retinal layers in early and intermediate age-related macular degeneration (AMD) compared to healthy control eyes using optical coherence tomography (OCT). Methods 71 eyes with AMD and 31 control eyes were imaged at two time points: baseline and after 2 years. Automated OCT layer segmentation was performed using Orion TM . This software is able to measure volumes of retinal layers with ...
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    6. Voxeleron LLC Receives a 2017 NIH Grant for $222,991 for Retinal Image Analysis Software for Neurodegenerative Disease Research

      Voxeleron LLC Receives a 2017 NIH Grant for $222,991 for Retinal Image Analysis Software for Neurodegenerative Disease Research
      ...rmalities. Specifically, we are aiming to: Aim 1 – Improve our segmentation of diseased eyes Orion (www.voxeleron.com/orion), our current research platform has been validated and used extensively on normal, non-pat...
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    7. The measurement repeatability using different partition methods of intraretinal tomographic thickness maps in healthy human subjects

      The measurement repeatability using different partition methods of intraretinal tomographic thickness maps in healthy human subjects
      Purpose: To determine the repeatability and profiles with different partition methods in intraretinal thickness layers in healthy human subjects, using optical coherence tomography (OCT). Methods: A custom-built ultrahigh-resolution OCT was used to acquire three-dimensional volume of the macula in 20 healthy subjects. The dataset was acquired twice using the macular cube 512128 protocol in an area of 66 mm 2 centered on the fovea. Commercially available segmentation software (Orion) was ...
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    8. Beyond Better Clinical Care: Optical Coherence Tomography's Economic Impact

      Beyond Better Clinical Care: Optical Coherence Tomography's Economic Impact
      The optical coherence tomography (OCT) industry has grown dramatically in its first 25 years, and while the positive effects on patient clinical care are the most important measure of OCT's success, its contributions to the economy in jobs, tax receipts, and healthcare savings are also noteworthy. The field of optical coherence tomography (OCT) has grown dramatically since its discovery in the early 1990s. The commercialization and growth of OCT ...
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    9. Changes in macular layers in the early course of non-arteritic ischaemic optic neuropathy

      Changes in macular layers in the early course of non-arteritic ischaemic optic neuropathy
      Purpose To characterise the changes of the retinal layers in patients with acute anterior ischaemic optic neuropathy (AION), aiming to identify imaging markers for predicting the residual visual function. Methods This was a retrospective review of consecutive patients with unilateral AION from January 2010 to December 2013. We analysed affected eyes at baseline and 1 month later, compared to fellow healthy eyes. Utilising novel image analysis software, we conducted algorithmic ...
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  2. About Voxeleron

    Voxeleron

    Voxeleron LLC develops and/or licenses specialized software in the field of computer vision. Our collective experience covers a broad range of applications, from medicine and life sciences, to security, biometrics, classification, and vision-based inspection. Our focus has been in the field of medical image processing with emphasis on the development of ophthalmic analysis software. In particular, we have a great deal of experience in the development and release of commercial algorithms for image analysis in optical coherence tomography.