Random Fourier Features-Based Deep Learning Improvement with Class Activation Interpretability for Nerve Structure Segmentation

Random Fourier Features-Based Deep Learning Improvement with Class Activation Interpretability for Nerve Structure Segmentation

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 lea...

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Bibliographic Details
Main Authors: Cristian Alfonso Jimenez-Castaño, Andrés Marino Álvarez-Meza, Oscar David Aguirre-Ospina, David Augusto Cárdenas-Peña, Álvaro Angel Orozco-Gutiérrez
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Sensors
Subjects:
nerve structure segmentation
ultrasound images
deep learning
random Fourier features
class activation mapping
Online Access:https://www.mdpi.com/1424-8220/21/22/7741

Internet

https://www.mdpi.com/1424-8220/21/22/7741

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