The screen, which has been dubbed retinal e-paper, has a resolution beyond 25,000 pixels per inch. "This breakthrough paves the way for the creation of virtual worlds that are visually ...
The device could help a million people with a severe form of macular degeneration to be able to see enough to read. By Gina Kolata For the first time, researchers restored some vision to people with a ...
A research team has developed a novel deep learning framework, RsegNet, to revolutionize how rubber tree plantations are ...
Scientists have used an eye implant to improve the vision of dozens of people left functionally blind by age-related macular degeneration (AMD). The implant, which measures 2 millimetres by 2 ...
SD-RetinaNet: Topologically Constrained Semi-Supervised Retinal Lesion and Layer Segmentation in OCT
Abstract: Optical coherence tomography (OCT) is widely used for diagnosing and monitoring retinal diseases, such as age-related macular degeneration (AMD). The segmentation of biomarkers such as ...
Customized implementation of the U-Net in PyTorch for Kaggle's Carvana Image Masking Challenge from high definition images. This model was trained from scratch with 5k images and scored a Dice ...
I want to use one transform compose to apply data augmentation for my images with both bboxes, bboxes targets and a semantic segmentation mask. But: torchvision.transforms.v2.SanitizeBoundingBoxes ...
Abstract: Optical coherence tomography is an non-invasive imaging modality in ophthalmology that provides high-resolution tissue morphological images of the retina. Optimal layer division of the intra ...
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