most citedAutomatic Detection of Knee Joints and Quantification of Knee Osteoarthritis Severity using Convolutional Neural Networks

1 citations · 1 across the 1 of their papers we have counts for

collaborators

3 papers

eess.IV2019

Predicting knee osteoarthritis severity: comparative modeling based on patient's data and plain X-ray images

Jaynal Abedin, Joseph Antony, Kevin McGuinness +4

Knee osteoarthritis (KOA) is a disease that impairs knee function and causes pain. A radiologist reviews knee X-ray images and grades the severity level of the impairments accordin…

cs.CV2019

Feature Learning to Automatically Assess Radiographic Knee Osteoarthritis Severity

Joseph Antony, Kevin McGuinness, Kieran Moran +1

This chapter presents the investigations and the results of feature learning using convolutional neural networks to automatically assess knee osteoarthritis (OA) severity and the a…

cs.CV2017★ 1 cited

Automatic Detection of Knee Joints and Quantification of Knee Osteoarthritis Severity using Convolutional Neural Networks

Joseph Antony, Kevin McGuinness, Kieran Moran +1

This paper introduces a new approach to automatically quantify the severity of knee OA using X-ray images. Automatically quantifying knee OA severity involves two steps: first, aut…