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Collaborative and Reproducible Research: Goals, Challenges, and Strategies
Steve G Langer1, George Shih2, Paul Nagy3
1Radiology, Mayo Clinic, Rochester, MN, USA. langer.steve@mayo.edu.
Journal of Digital Imaging
|February 25, 2018
Summary
Biomedical imaging research faces unique infrastructure challenges for precision medicine. The Society for Imaging Informatics in Medicine (SIIM) Machine Learning Committee identified and strategized solutions for these machine learning in medical imaging obstacles.
Area of Science:
- Medical Imaging
- Machine Learning
- Precision Medicine
- Genomics
- Clinical Phenotype Data
Background:
- Precision medicine integrates imaging biomarkers with genomic and clinical data.
- Biomedical imaging research infrastructure differs significantly from text-driven electronic medical record (EMR) data.
- Challenges include medical image file formats, transport mechanisms, and post-processing (segmentation, registration).
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