Machine learning applications in medical image analysis
- Submission status
- Closed
- Submission deadline
Significant breakthroughs in the capabilities of machine learning (ML) algorithms in recent years coupled with advancements in imaging tools have precipitated a revolution in automated medical image analysis. ML-based methods are increasingly being used to extract data from diverse imaging modalities and guide clinical decision making in a range of specialties including radiology, ophthalmology, neurology, respiratory medicine and cancer.
This Collection aims to bring together original research on all aspects of ML-based medical image analysis, including but not limited to technological developments and new clinical applications.
Editors
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Syed Ahmad Chan Bukhari
St. John’s University, USA
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Simon Duchesne
Université Laval, Canada
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Huazhu Fu
Agency for Science, Technology and Research, Singapore
Collections articles undergo Scientific Reports' standard peer review process and are subject to all of the journal’s standard policies. This includes the journal’s policy on competing interests. The Guest Editors have no competing interests with the submissions which they handle through the peer review process. The peer review of any submissions for which the Guest Editors have competing interests is handled by another Editorial Board Member who has no competing interests.
This Collection has not been supported by sponsorship.
