… localized knee joint images. We introduce a new approach to automatically detect the knee
… We train convolutional neural networks (CNN) from scratch to automatically quantify the knee …

… for automatic assessment of knee osteoarthritis … (knee JSW narrowing detection and
classification model) performs better than the other existing models (whole knee joint detection and …

… O’Connor, “Automatic detection of knee joints and quantification of knee osteoarthritis severity
using … Saarakkala, “Automatic knee osteoarthritis diagnosis from plain radiographs: a deep …

… automatic process to diagnose osteoarthritis based on deep learning. We demonstrated
that transfer learning from the object detection domain could be successfully applied to knee …

… state-of-the-art automatic CADx method to diagnose knee OA from plain radiographs while
… published knee joint area localisation 25 and a problem-specific CNN to grade the knee …

… This paper proposed an automated strategy to detect knee osteoarthritis from x-ray
images. The proposed approach has a few advantages. It can help subjects experiencing …

… on both manually annotated and automatically detected knee joints. Two metrics, including
… and automatically detected knee joints. Among all compared CNN architectures on knee KL …

… Antony, J.; McGuinness, K.; Moran, K.; O’Connor, NE Automatic detection of knee joints
and quantification of knee osteoarthritis severity using convolutional neural networks. In …

We describe a method for automated detection of radiographic osteoarthritis (OA) in knee X-ray
images. The detection is based on the Kellgren-Lawrence (KL) classification grades, …

… Automated analysis method for screening knee osteoarthritis using medical infrared
thermography. Journal of Medical and Biological Engineering 33.5 (2013): 471-477. …