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 ...

If you’re looking to add a powerful retinoid to your skincare routine without the usual redness or flaking, Medik8’s Crystal Retinal might just be your skincare routines new MVP. Often described by ...

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 ...

Abstract: The change of layer thickness of retina and choroid is closely related to eye diseases. In clinical applications, optical coherence tomography (OCT) is utilized to visualize retina and ...

Accurate retinal vessel segmentation from fundus images is essential for eye disease diagnosis. Many deep learning methods have shown great performance in this task but still struggle with limited ...

Meanwhile, multi-scale feature aggregation to fuse coarse-to-fine context information has been popular to segment thin/small objects (15–19). There are mainly two approaches: input-output level ...