A Tour of Unsupervised Deep Learning for Medical Image Analysis
Current Medical Imaging Formerly Current Medical Imaging Reviews2021Vol. 17(9), pp. 1059–1077
Citations Over TimeTop 10% of 2021 papers
Abstract
Currently, interpretation of medical images for diagnostic purposes is usually performed by human experts that may be replaced by computer-aided diagnosis due to advancement in machine learning techniques, including deep learning, and the availability of cheap computing infrastructure through cloud computing. Both supervised and unsupervised machine learning approaches are widely applied in medical image analysis, each of them having certain pros and cons. Since human supervisions are not always available or are inadequate or biased, therefore, unsupervised learning algorithms give a big hope with lots of advantages for biomedical image analysis.
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