Deep Learning in Medical Image Analysis: Latest Advances and Prospects
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Biosciences and Bioengineering".
Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 594
Special Issue Editors
Interests: biomedical imaging; medical imaging; deep learning; computer aided diagnosis
Interests: medical image analysis; deep learning; convolutional neural networks; computer aided diagnosis
Special Issue Information
Dear Colleagues,
In recent years, the application of deep learning techniques for experimentation in the field of medical imaging for both prevention and diagnosis or even in surgery planning has unquestionably advanced. Recent years have seen an explosion in medical journals of publications related to the application of deep learning in all types of medical images.
This Special Issue calls for research on deep learning applied to medical image analysis. Papers could be theoretical and practical and, also, review and survey papers about the impact, latest advances, and prospects of deep learning in medical image analysis.
Potential topics include but are not limited to medical imaging, biomedical image analysis, computer-guided surgery, computer-aided diagnosis, medical image segmentation, personalized medicine, or novel deep learning architectures.
Prof. Dr. Maria J. Carreira
Dr. Nicolás Vila
Guest Editors
Manuscript Submission Information
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Keywords
- transfer deep learning
- deep learning architectures
- computer-aided diagnoses
- biomedical imaging
- personalized medicine
- deep learning in x-ray imaging
- deep learning in CT
- deep learning in MRI
