Fully automatic knee osteoarthritis severity grading using deep neural networks with a novel ordinal loss

Author:

Chen Pingjun,Gao Linlin,Shi Xiaoshuang,Allen Kyle,Yang Lin

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference39 articles.

1. Quantifying radiographic knee osteoarthritis severity using deep convolutional neural networks;Antony;International Conference on Pattern Recognition,2016

2. Automatic detection of knee joints and quantification of knee osteoarthritis severity using convolutional neural networks;Antony;Internaltional Conference on Machine Learning and Data Mining in pattern recognition,2017

3. Pancreas segmentation in MRI using graph-based decision fusion on convolutional neural networks;Cai,2016

4. Impact and therapy of osteoarthritis: the arthritis care oa nation 2012 survey;Conaghan;Clin. Rheumatol.,2015

5. Defining the presence of radiographic knee osteoarthritis: a comparison between the Kellgren and Lawrence system and OARSI atlas criteria;Culvenor;Knee Surg. Sports Traumatol. Arthrosc.,2015

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