Abstract: Retinal image segmentation is essential for analyzing retinal structures like vessels and diagnosing retinopathy. However, the inherent intricacy of the retina, along with annotation ...

Semantic segmentation is a core task in computer vision, essential for applications requiring detailed scene understanding, such as medical imaging, precision agriculture, and remote sensing. Recent ...

People on statin therapy to lower their cholesterol may derive an additional benefit if they undergo intraocular surgery to repair a retinal detachment caused by a retinal tear: a slightly lower risk ...

The current Segmentation machine learning code uses TensorFlow 1 which is incompatible with Python 3.11 needed by other software packages. The thing to do is to replace TensorFlow with PyTorch since ...

Segmentations of retinal optical coherence tomography (OCT) images provide valuable information about each specific retinal layer. However, processing images from degenerative retina remains ...

Advanced deep learning framework for OCT retinal analysis with multi-architecture comparison for automated retinal layer segmentation, ERM detection, and vesicle analysis using state-of-the-art neural ...