Title
Convolutional neural network based diagnosis of bone pathologies of proximal humerus
Abstract
MRI is the leading method of evaluation in traumatic shoulder pathologies ranging from soft tissue or bone edema to rupture of tendons or ligaments and subtle fractures of bone. MRI has the power of evaluating both of the soft tissues and bone at the same time. PD weighted MRI sequences are very powerful in demonstrating bone trauma in terms of edema and cortical disruption in the shoulder pathologies. The alterations in the intensity of the metaphyseal bone may be used to predict the presence of the bone trauma or pathologies.
Year
DOI
Venue
2020
10.1016/j.neucom.2018.11.115
Neurocomputing
Keywords
DocType
Volume
Convolutional neural network,Bone pathologies,PD weighted MRI,Image classification
Journal
392
ISSN
Citations 
PageRank 
0925-2312
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Aysun Sezer153.51
Hasan Basri Sezer252.50