Convolutional neural network based diagnosis of bone pathologies of proximal humerus

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. Although it is superior to many other imaging modalities to uncover the effects of trauma on the each anatomical structure of shoulder, PD weighted MRI has innate obstacles to image processing like low signal to noise ratio besides close anatomical relations and unclear bony borders.