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A feasibility study of deep learning-based segmentation of the inferior alveolar nerve on magnetic resonance

Yoon Joo Choi1, Sujeong Han2, Chena Lee1

  • 1Department of Oral and Maxillofacial Radiology, Yonsei University College of Dentistry, 50-1 Yonsei-ro Seodaemun-gu, Seoul, 03722, Republic of Korea.

Scientific Reports
|April 1, 2026
PubMed
Abstract

No abstract available in PubMed .

Keywords:
Artificial intelligenceDeep learningImage segmentationInferior alveolar nerveMagnetic resonance neurography

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Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...

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