Results 1 to 10 of about 794,928 (281)

Nerve Segmentation with Deep Learning from Label-Free Endoscopic Images Obtained Using Coherent Anti-Stokes Raman Scattering [PDF]

Biomolecules, 2020
Semantic segmentation with deep learning to extract nerves from label-free endoscopic images obtained using coherent anti-Stokes Raman scattering (CARS) for nerve-sparing surgery is described.
Naoki Yamato, Mana Matsuya, Hirohiko Niioka, Jun Miyake, Mamoru Hashimoto   +4 more
doaj   +6 more sources

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

Sensors, 2021
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.
Cristian Alfonso Jimenez-Castaño, Andrés Marino Álvarez-Meza, Oscar David Aguirre-Ospina, David Augusto Cárdenas-Peña, Álvaro Angel Orozco-Gutiérrez   +4 more
doaj   +4 more sources

Automated peripheral nerve segmentation for MR-neurography [PDF]

European Radiology Experimental
Background Magnetic resonance neurography (MRN) is increasingly used as a diagnostic tool for peripheral neuropathies. Quantitative measures enhance MRN interpretation but require nerve segmentation which is time-consuming and error-prone and has not ...
Nedim Christoph Beste, Johann Jende, Moritz Kronlage, Felix Kurz, Sabine Heiland, Martin Bendszus, Hagen Meredig   +6 more
doaj   +5 more sources

Deep learning-driven MRI trigeminal nerve segmentation with SEVB-net [PDF]

Frontiers in Neuroscience, 2023
PurposeTrigeminal neuralgia (TN) poses significant challenges in its diagnosis and treatment due to its extreme pain. Magnetic resonance imaging (MRI) plays a crucial role in diagnosing TN and understanding its pathogenesis.
Chuan Zhang, Chuan Zhang, Man Li, Zheng Luo, Ruhui Xiao, Bing Li, Jing Shi, Chen Zeng, BaiJinTao Sun, Xiaoxue Xu, Hanfeng Yang, Hanfeng Yang   +11 more
doaj   +2 more sources

Automated Segmentation of Median Nerve in Dynamic Sonography Using Deep Learning: Evaluation of Model Performance

Diagnostics, 2021
There is an emerging trend to employ dynamic sonography in the diagnosis of entrapment neuropathy, which exhibits aberrant spatiotemporal characteristics of the entrapped nerve when adjacent tissues move.
Chueh-Hung Wu, Wei-Ting Syu, Meng-Ting Lin, Cheng-Liang Yeh, Mathieu Boudier-Revéret, Ming-Yen Hsiao, Po-Ling Kuo   +6 more
doaj   +3 more sources

Masked autoencoder pretraining for peripheral nerve segmentation in ultrasound images [PDF]

Scientific Reports
Despite recent advances in medical image segmentation, deep learning applications in musculoskeletal ultrasound remain limited by small labeled datasets and a narrow clinical focus. Most existing work centers on the median nerve, leaving other clinically
Matthew Webster, Ko Eun Kim, Jaewon Lim, Joonnyong Lee, Beom Suk Kim   +4 more
doaj   +2 more sources

A deep learning framework for automated quantification of peripheral nerve lesions in MR neurography [PDF]

European Radiology Experimental
Objective Magnetic resonance neurography (MRN) enables high-resolution visualization of peripheral nerves, yet quantitative analysis of intraneural lesion burden remains limited by manual, observer-dependent workflows.
Nedim C. Beste, Clara Raudonat, Melissa Fesselier, Sebastian Hartmann, Daniel Sommer, Johann M. E. Jende, Jonathan Kottlors, Sabine Heiland, Hagen Meredig, Martin Bendszus, Christoph M. Mooshage   +10 more
doaj   +2 more sources

Deep-learning segmentation of fascicles from microCT of the human vagus nerve

Frontiers in Neuroscience, 2023
IntroductionMicroCT of the three-dimensional fascicular organization of the human vagus nerve provides essential data to inform basic anatomy as well as the development and optimization of neuromodulation therapies.
Ozge N. Buyukcelik, Ozge N. Buyukcelik, Maryse Lapierre-Landry, Chaitanya Kolluru, Aniruddha R. Upadhye, Aniruddha R. Upadhye, Daniel P. Marshall, Nicole A. Pelot, Kip A. Ludwig, Kip A. Ludwig, Kip A. Ludwig, Kenneth J. Gustafson, Kenneth J. Gustafson, David L. Wilson, Michael W. Jenkins, Michael W. Jenkins, Andrew J. Shoffstall, Andrew J. Shoffstall   +17 more
doaj   +3 more sources

Automated Segmentation of Diffuse and Multifocal Nerve Enlargement in Immune-Mediated Neuropathy Using Temporal Deep Learning on Continuous Ultrasound Scans [PDF]

Diagnostics
Objectives: Peripheral nerve ultrasound is used to evaluate nerve enlargement in immune-mediated neuropathies; however, assessment can be challenging because the distribution and severity of nerve enlargement vary among patients and are often accompanied
Miho Akaza, Ryo Maeda, Tai Otani, Hirokazu Natsui, Tadashi Kanouchi, Yuki Sumi   +5 more
doaj   +2 more sources

An Annotated Corneal Confocal Microscopy Dataset for Nerve Segmentation and Clinical Characterization [PDF]

Scientific Data
Corneal confocal microscopy enables in vivo visualisation of the sub-basal nerve plexus; however, most available datasets provide only centreline annotations, and open pixel-level annotations are comparatively scarce, limiting broader pixel-level ...
Qincheng Qiao, Juan Cao, Xinguo Hou
doaj   +2 more sources