7 citations · 7 across the 1 of their papers we have counts for
3 papers
Using artificial intelligence to detect chest X-rays with no significant findings in a primary health care setting in Oulu, Finland
Tommi Keski-Filppula, Marko Nikki, Marianne Haapea +2
Objectives: To assess the use of artificial intelligence-based software in ruling out chest X-ray cases, with no significant findings in a primary health care setting. Methods: In…
Critical Evaluation of Deep Neural Networks for Wrist Fracture Detection
Abu Mohammed Raisuddin, Elias Vaattovaara, Mika Nevalainen +8
Wrist Fracture is the most common type of fracture with a high incidence rate. Conventional radiography (i.e. X-ray imaging) is used for wrist fracture detection routinely, but occ…
Bayesian Feature Pyramid Networks for Automatic Multi-Label Segmentation of Chest X-rays and Assessment of Cardio-Thoratic Ratio
Roman Solovyev, Iaroslav Melekhov, Timo Lesonen +3
Cardiothoratic ratio (CTR) estimated from chest radiographs is a marker indicative of cardiomegaly, the presence of which is in the criteria for heart failure diagnosis. Existing m…