An AI-based computer-aided system for better knee osteoarthritis assessment
Researchers from the Medical University of Graz recently collaborated to analyze the impact of an artificial intelligence (AI)-based computer system on the accuracy and agreement rate of board-certified orthopedic surgeons to detect X-ray features indicative of knee OA (osteoarthritis assessment).
Lightweight multi-drone detection and 3D-localization via YOLO
Researchers from Indian Institute of Technology Kanpur recently evaluated a method to perform real-time multiple drone detection and three-dimensional localization using state-of-the-art tiny-YOLOv4 object detection algorithm and stereo triangulation.
Automated detection of malaria parasites using convolutional neural networks
Researchers from Imperial College London recently focused on developing an automated image analysis method to improve accuracy and standardization of smear inspection that retains capacity for expert confirmation and image archiving.
Automatic recognition of emotional subgroups in images
Researchers from Vrije Universiteit Amsterdam are advancing better ways to combine social group detection and group emotion recognition in images especially for use cases such as crowd surveillance or event analysis.
A hierarchical optical coherence tomography annotation workflow with crowds and medical experts
Researchers from Genentech are researching solutions to the heavy burden it takes to annotate clinical images due to the cost and availability of medical experts.
Evaluating terrain-dependent performance for martian frost detection in visible satellite observations
Researchers from Jet Propulsion Labs recently studied seasonal frosting and defrosting on the surface of Mars which is hypothesized to drive both climate processes and the formation and evolution of geomorphological features such as gullies.
The impact of artificial intelligence assessment on diabetic retinopathy
Researchers from the University of Rwanda studied the recent advances in computer-based analysis using artificial intelligence (AI), which present a promising opportunity to test and refine automatic grading of diabetic retinal images for screening.
Baby physical safety monitoring in smart home using action recognition system
Researchers from the University of Cincinnati recently studied advances in action recognition, as humans are able to intuitively deduce actions that took place between two states in observations via deductive reasoning.
Deep learning for live cell shape detection
Researchers from Iowa State University were looking to advance atomic force microscopy (AFM) in order to provide a platform for high-resolution topographical imaging.
HyperionSolarNet: Solar panel detection from aerial images
Researchers from UC Berkeley set out to create a comprehensive database for locating solar panels given the importance of being able to assist analysts and policymakers on defining strategies for further expansion of solar energy.
