This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, RandLA-Net, and VoxelRCNN— on a Flash Lidar dataset ...

Background: Glaucoma, an irreversible blinding eye disease caused by optic nerve damage, remains a major public health challenge in sub-Saharan Africa, where it occurs earlier and progresses more ...

Abstract: Glaucoma remains a major global cause of irreversible blindness, with early detection often hindered by its asymptomatic progression leading to nearly half of cases going undiagnosed. In ...

In this post, we will show you how to create real-time interactive flowcharts for your code using VS Code CodeVisualizer. CodeVisualizer is a free, open-source Visual Studio Code extension that ...

Machine learning (ML) outperforms human graders for diagnosing glaucoma. HealthDay News — Machine learning (ML) outperforms human graders for diagnosing glaucoma, according to a study presented at the ...

To develop machine learning (ML) and neural network (NN) models to predict glaucoma surgical outcomes, including intraocular pressure (IOP), use of ocular antihypertensive medications, and need for ...

Introduction: Peripheral Artery Disease (PAD) is a progressive vascular disorder impairing mobility, raising fall risk, and reducing quality of life. Early detection is key to preventing amputations ...

Deep learning–based Glaucoma detection using CNN, Transfer Learning, and NSGA-II optimization, with a Flask web app for real-time predictions and Grad-CAM visualizations.

In today’s digital background, sentiment analysis has become an essential factor of Natural Language Processing (NLP), offering valuable insights from vast online data sources. This paper presents a ...

An overview of attention detection using EEG signals, which includes six steps: an experimental paradigm design, in which the task and the stimuli are defined and presented to the subjects; EEG data ...