MNT-DeepSL: Median nerve tracking from carpal tunnel ultrasound images with deep similarity learning and analysis on continuous wrist motions

Computerized Medical Imaging and Graphics - Tập 80 - Trang 101687 - 2020
You-Wei Wang1, Ruey‐Feng Chang1, Yi-Shiung Horng2,3, Chii-Jen Chen4
1Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan
2Department of Medicine, Tzu Chi University, Hualien, Taiwan
3Department of Physical Medicine and Rehabilitation, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Taipei, Taiwan
4Department of Medical Imaging and Radiological Technology, Yuanpei University of Medical Technology, Hsinchu, Taiwan

Tóm tắt

Từ khóa


Tài liệu tham khảo

Ahmed, 2015, An improved deep learning architecture for person re-identification, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 3908, 10.1109/CVPR.2015.7299016

Billakota, 2017, Standard median nerve ultrasound in carpal tunnel syndrome: a retrospective review of 1,021 cases, Clin. Neurophysiol. Pract., 2, 188, 10.1016/j.cnp.2017.07.004

Britz, 1995, Carpal tunnel syndrome: correlation of magnetic resonance imaging, clinical, electrodiagnostic, and intraoperative findings, Neurosurgery, 37, 1097, 10.1227/00006123-199512000-00009

Bromley, 1993, Signature verification using a "Siamese" time delay neural network, 737

Burton, 2014, Diagnosing and managing carpal tunnel syndrome in primary care, Br. J. Gen. Pract., 64, 262, 10.3399/bjgp14X679903

Canziani, 2016, An analysis of deep neural network models for practical applications, CoRR

Dilley, 2003, Quantitative in vivo studies of median nerve sliding in response to wrist, elbow, shoulder and neck movements, Clin. Biomech. (Bristol, Avon), 18, 899, 10.1016/S0268-0033(03)00176-1

Duncan, 1999, Sonography in the diagnosis of carpal tunnel syndrome, Am. J. Roentgenol., 173, 681, 10.2214/ajr.173.3.10470903

Fowler, 2014, Comparison of ultrasound and electrodiagnostic testing for diagnosis of carpal tunnel syndrome: study using a validated clinical tool as the reference standard, J. Bone Jt. Surg. Am., 96, e148, 10.2106/JBJS.M.01250

Fowler, 2015, A comparison of three diagnostic tests for carpal tunnel syndrome using latent class analysis, J. Bone Jt. Surg. Am., 97, 1958, 10.2106/JBJS.O.00476

Glorot, 2010, Understanding the difficulty of training deep feedforward neural networks, 249

He, 2015, Deep residual learning for image recognition, CoRR

John, 1983, CT of carpal tunnel syndrome, AJNR Am. J. Neuroradiol., 4, 770

Keles, 2005, Diagnostic precision of ultrasonography in patients with carpal tunnel syndrome, Am. J. Phys. Med. Rehabil., 84, 443, 10.1097/01.phm.0000163715.11645.96

Krizhevsky, 2012, ImageNet classification with deep convolutional neural networks, 1097

Lecun, 1998, Gradient-based learning applied to document recognition, Proc. IEEE, 86, 2278, 10.1109/5.726791

Loh, 2018, Deformation of the median nerve at different finger postures and wrist angles, PeerJ, 6, e5406, 10.7717/peerj.5406

Mondelli, 2002, Carpal tunnel syndrome incidence in a general population, Neurology, 58, 289, 10.1212/WNL.58.2.289

Sabour, 2017, Dynamic routing between capsules, CoRR

Simonyan, 2014, Very deep convolutional networks for large-scale image recognition, CoRR

Simo-Serra, 2015, Discriminative learning of deep convolutional feature point descriptors, 2015 IEEE International Conference on Computer Vision (ICCV), 118, 10.1109/ICCV.2015.22

Subramaniam, 2016, Deep neural networks with inexact matching for person re-identification, 2675

Szabo, 1999, The value of diagnostic testing in carpal tunnel syndrome, J. Hand Surg., 24, 704, 10.1053/jhsu.1999.0704

Vahed, 2018, Ultrasound as a diagnostic tool in the investigation of patients with carpal tunnel syndrome, Eur. J. Transl. Myol., 28, 7380

Vo, 2016, Localizing and orienting street views using overhead imagery, CoRR

Wong, 2004, Carpal tunnel syndrome: diagnostic usefulness of sonography, Radiology, 232, 93, 10.1148/radiol.2321030071

Yoshii, 2009, Ultrasound assessment of the displacement and deformation of the median nerve in the human carpal tunnel with active finger motion, J. Bone Jt. Surg. Am., 91, 2922, 10.2106/JBJS.H.01653

Zhou, 2004, Image quality assessment: from error visibility to structural similarity, IEEE Trans. Image Process., 13, 600, 10.1109/TIP.2003.819861