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Machine learning applications in medical image analysis
Submission status
Open
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.