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Special Section Guest Editorial: Radiomics and Deep Learning.

Despina Kontos1, Ronald M Summers2, Maryellen Giger3

  • 1The University of Pennsylvania, Perelman Center for Advanced Medicine, Philadelphia, Pennsylvania.

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This summary is machine-generated.

This editorial introduces the JMI Special Section on Radiomics and Deep Learning. It highlights advancements in artificial intelligence for medical imaging analysis.

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Area of Science:

  • Radiology and Medical Imaging
  • Artificial Intelligence in Medicine

Background:

  • Radiomics and Deep Learning are rapidly evolving fields.
  • Their integration offers new possibilities for medical image analysis.

Purpose of the Study:

  • To introduce and summarize the Journal of Medical Imaging (JMI) Special Section.
  • To highlight key contributions in radiomics and deep learning.

Main Methods:

  • This section features invited articles and reviews.
  • It covers theoretical advancements and practical applications.

Main Results:

  • The special section showcases cutting-edge research.
  • It demonstrates the potential of AI in medical diagnostics.

Conclusions:

  • Radiomics and deep learning are transforming medical imaging.
  • This collection provides valuable insights for researchers and clinicians.