Oct 8, 2019 · We present a novel dictionary learning method of reducing the image size, utilizing DAISY descriptors and Improved Fisher kernels to derive features to ...
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Our proposed method works as a type of intelligent downsampling, reducing the size while keeping vital information in images. We demonstrate the proposed method ...
Here, we present a novel dictionary learning method of reducing the image size, utilizing DAISY descriptors and Improved Fisher kernels to derive features to ...
Here, we present a novel dictionary learning method of reducing the image size, utilizing DAISY descriptors and Improved Fisher kernels to derive features to ...
Here, we propose a deep learning-based automatic method for detecting and classifying retinal diseases using OCT images.
Oct 8, 2019 · Our deep learning algorithm can denoise a single-frame OCT B-scan of the ONH in under 20 ms, thus offering a framework to obtain superior quality OCT B-scans.
Mar 18, 2022 · This study is the first to develop an algorithm that automates the diagnosis of pathologic myopia using three-dimensional OCT images. The ...
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Our system proposes candidates for novel AMD imaging biomarkers in OCT. It works by first training a neural network using self-supervised contrastive learning ...
Missing: Dictionary | Show results with:Dictionary
In this paper, we propose and validate a standardized, grader-independent, real-time feedback system for automatic quality assessment of retinal OCT images.
Missing: Dictionary | Show results with:Dictionary
Ophthalmic Medical Image Analysis | springerprofessional.de
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Medical images are often of very high resolutions, far greater than can be directly processed in deep learning networks. These images are usually downsampled to ...