Introduction: Weeds compete with crops for water, nutrients, and light, negatively impacting maize yield and quality. To enhance weed identification accuracy and meet the requirements of precision ...

Python is widely used for apps, automation, and web development. Before running scripts, it’s important to confirm which version is installed on your Windows PC. This usually means Python is not added ...

Catch up on recent advancements in retina care, including new therapies for age-related macular degeneration and macular telangiectasia, enhancing patient outcomes. Now is an exciting time to be a ...

Summary: Researchers have discovered that the human retina synchronizes visual signals before they even reach the brain. By adjusting the diameter of nerve fibers, longer retinal axons transmit ...

Abstract: The purpose of this paper is to study of how machine learning algorithms, artificial intelligence, semantic segmentation and fine recognition can be used to enhance computer vision in order ...

U-Net implementation in PyTorch for FLAIR abnormality segmentation in brain MRI based on a deep learning segmentation algorithm used in Association of genomic subtypes of lower-grade gliomas with ...

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 ...