A Neural Network Approach to Identify Left–Right Orientation of Anatomical Brain MRI

This study presents a novel application of deep learning to enhance the accuracy of left–right orientation identification in anatomical brain MRI scans. Left–right orientation misidentification in brain MRIs presents significant challenges due to several factors, including metadata loss or ambiguity, which often occurs during the de‐identification of medical images for research, conversion between image formats, software operations that strip or overwrite metadata, and the use of older imaging systems that stored orientation differently.

• Publication year

  2025

• Venue

  Brain and Behavior

• Publication date

  2025-02-01

• Fields of study

  Medicine, Computer Science

• Identifiers
  DOI 10.1002/brb3.70299PMID 39924951PMCID 11808181
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

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