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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.
Automated segmentation of cervical anatomy to interrogate preterm birth
Researchers from Columbia University are finding ways to develop a computational tool developed to better segment the entire cross-sectional area of the cervix tissue from 2D transvaginal ultrasounds, enabling the creation of a generalizable, cervical-features-based prediction model of PTB risk.