Editorial for “A Lightweight Convolutional Neural Network Based on Dynamic Level‐Set Loss Function for Spine MR Image Segmentation”
Author:
Affiliation:
1. Graduate School of Informatics and Engineering The University of Electro‐Communications Chofu Tokyo Japan
2. Human Brain Research Center, Graduate School of Medicine Kyoto University Kyoto Japan
Publisher
Wiley
Subject
Radiology, Nuclear Medicine and imaging
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/jmri.28878
Reference9 articles.
1. A Lightweight Convolutional Neural Network Based on Dynamic Level‐Set Loss Function for Spine MR Image Segmentation
2. Evaluation and comparison of 3D intervertebral disc localization and segmentation methods for 3D T2 MR data: A grand challenge
3. LSW‐Net: Lightweight Deep Neural Network Based on Small‐World properties for Spine MR Image Segmentation
4. An optimized segmentation convolutional neural network with dynamic energy loss function for 3D reconstruction of lumbar spine MR images
5. A Deep Learning Model for Automatic Detection and Classification of Disc Herniation in Magnetic Resonance Images
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