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Editorial: Recent Advances in Deep Learning and Medical Imaging for Cancer Treatment.

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Area of Science:

  • Medical Imaging
  • Artificial Intelligence
  • Oncology

Background:

  • Deep learning methods are increasingly vital for autonomous data representation in medical imaging.
  • Challenges include handling diverse inputs, high-dimensional features, and subtle patterns in imaging data.

Discussion:

  • This special issue features 19 articles on deep learning and medical imaging for cancer treatment.
  • Key themes include AI in medical imaging, AI for cancer diagnosis and treatment, and medical image analysis challenges.

Key Insights:

  • Focus on advancements in cancer detection techniques and innovations in skin cancer classification.
  • Explores explainable artificial intelligence (AI)-enabled diagnosis for cancer treatment.

Outlook:

  • The integration of AI and medical imaging is transforming cancer diagnosis and treatment.
  • Future directions involve refining AI algorithms for more accurate and efficient cancer care.