nerve structure
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Sensors ◽  
2021 ◽  
Vol 21 (22) ◽  
pp. 7741
Author(s):  
Cristian Alfonso Jimenez-Castaño ◽  
Andrés Marino Álvarez-Meza ◽  
Oscar David Aguirre-Ospina ◽  
David Augusto Cárdenas-Peña ◽  
Álvaro Angel Orozco-Gutiérrez

Peripheral nerve blocking (PNB) is a standard procedure to support regional anesthesia. Still, correct localization of the nerve’s structure is needed to avoid adverse effects; thereby, ultrasound images are used as an aid approach. In addition, image-based automatic nerve segmentation from deep learning methods has been proposed to mitigate attenuation and speckle noise ultrasonography issues. Notwithstanding, complex architectures highlight the region of interest lacking suitable data interpretability concerning the learned features from raw instances. Here, a kernel-based deep learning enhancement is introduced for nerve structure segmentation. In a nutshell, a random Fourier features-based approach was utilized to complement three well-known semantic segmentation architectures, e.g., fully convolutional network, U-net, and ResUnet. Moreover, two ultrasound image datasets for PNB were tested. Obtained results show that our kernel-based approach provides a better generalization capability from image segmentation-based assessments on different nerve structures. Further, for data interpretability, a semantic segmentation extension of the GradCam++ for class-activation mapping was used to reveal relevant learned features separating between nerve and background. Thus, our proposal favors both straightforward (shallow) and complex architectures (deeper neural networks).


2021 ◽  
Vol 45 (7) ◽  
pp. S7
Author(s):  
Evan Lewis ◽  
Leif Erik Lovblom ◽  
Sebastien Lanctot ◽  
Daniel Scarr ◽  
Vera Bril ◽  
...  

Author(s):  
Caroline J. Gassel ◽  
Sabrina Reinehr ◽  
Sara C. Gomes ◽  
H. Burkhard Dick ◽  
Stephanie C. Joachim

Diabetes ◽  
2021 ◽  
Vol 70 (Supplement 1) ◽  
pp. 209-OR
Author(s):  
EVAN J.H. LEWIS ◽  
LEIF ERIK LOVBLOM ◽  
SEBASTIEN O. LANCTOT ◽  
DANIEL SCARR ◽  
NANCY CARDINEZ ◽  
...  

Author(s):  
Tushar Issar ◽  
Shyam S. Tummanapalli ◽  
Adeniyi A. Borire ◽  
Natalie C. G. Kwai ◽  
Ann M. Poynten ◽  
...  

Author(s):  
Massimo Rigoni ◽  
Massimiliano Raggi ◽  
Luca Speri

AbstractWrist denervation is, by the way, one of the most performed and long-lasting surgical technique for wrist arthritis. Despite many progresses in upper extremity joint arthroplasty, wrist arthritis remains difficult to treat specially in young patients and heavy manual workers. The aim of this technical article is to describe a new outpatient's procedure in which applying pulsed radio frequency on nerve structure of the wrist could achieve similar clinical results of a wrist denervation without surgical incision.


2020 ◽  
Vol 382 (2) ◽  
pp. 293-306
Author(s):  
Caroline J. Gassel ◽  
Sabrina Reinehr ◽  
Sara C. Gomes ◽  
H. Burkhard Dick ◽  
Stephanie C. Joachim

2020 ◽  
Vol 37 (9) ◽  
pp. 1553-1560 ◽  
Author(s):  
T. Issar ◽  
S. S. Tummanapalli ◽  
N. C. G. Kwai ◽  
J. C. B. Chiang ◽  
R. Arnold ◽  
...  

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