Advances in Artificial Intelligence for Medical Image Analysis: 2nd Edition

A special issue of Life (ISSN 2075-1729). This special issue belongs to the section "Radiobiology and Nuclear Medicine".

Deadline for manuscript submissions: 31 December 2025

Special Issue Editor

School of Software, Yunnan University, Kunming, China
Interests: machine learning; artificial neural networks; image processing; bioinformatics; artificial-intelligence-based information security
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are grateful to the researchers who contributed to the first volume of this issue, Advances in Artificial Intelligence for Medical Image Analysis: https://www.mdpi.com/journal/life/special_issues/N50XKUIWD8.

We are now pleased to announce the upcoming publication of our Special Issue, entitled “Advances in Artificial Intelligence for Medical Image Analysis: 2nd Edition”.

Medical image analysis plays a vital role in diagnosing numerous pathologies, ranging from infectious diseases to cancer, and the field of medical imaging is rabidly being transformed by artificial intelligence (AI), with new AI-powered tools and techniques being developed all the time. These advances are making it possible to detect diseases earlier, more accurately, and more efficiently than ever before.

One of the most promising areas of AI in medical imaging is in the development of deep learning algorithms. Deep learning has powerful capabilities in feature extraction and pattern classification, and it can learn from datasets. This makes it well-suited for tasks such as image classification, object detection, and segmentation, which are all important for medical image analysis. Consequently, the processing burden in medical imaging has now shifted from the human to the computer side, thus allowing more researchers to step into this well-regarded and momentous area. These advances are making it possible to improve the quality of care for patients and to save lives.

This Special Issue seeks high-quality research articles or comprehensive reviews with applications in artificial intelligence in medical image analysis.

Dr. Xin Jin
Guest Editor

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Keywords

  • artificial intelligence
  • medical imaging
  • deep learning for medical imaging
  • histopathological image analysis
  • medical diagnosis
  • visualization in biomedical imaging
  • magnetic resonance imaging (MRI)
  • X-ray computed tomography (CT)
  • positron emission tomography (PET)
  • medical image fusion

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Published Papers

This special issue is now open for submission.
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