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 ...

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 ...

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 ...