Deep Learning Super-Resolution Technique Based on Magnetic Resonance Imaging for Application of Image-Guided Diagnosis and Surgery of Trigeminal Neuralgia

Deep Learning Super-Resolution Technique Based on Magnetic Resonance Imaging for Application of Image-Guided Diagnosis and Surgery of Trigeminal Neuralgia

This study aimed to implement a deep learning-based super-resolution (SR) technique that can assist in the diagnosis and surgery of trigeminal neuralgia (TN) using magnetic resonance imaging (MRI). Experimental methods applied SR to MRI data examined using five techniques, including T2-weighted imag...

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Bibliographic Details
Main Authors: Jun Ho Hwang, Chang Kyu Park, Seok Bin Kang, Man Kyu Choi, Won Hee Lee
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Life
Subjects:
artificial intelligence (AI)
deep learning
super resolution (SR)
magnetic resonance imaging (MRI)
trigeminal neuralgia (TN)
Online Access:https://www.mdpi.com/2075-1729/14/3/355

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