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Special Issue "Recent Developments in Machine Learning Techniques for Medical Image Analysis"
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: closed (21 April 2021) | Viewed by 29232
Special Issue Editors
Interests: medical image analysis; computer vision
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
It is our pleasure to announce the opening of a new Special Issue in the Applied Sciences Journal.
The main topics of the Issue will be regarding medical image analysis focused on the use of recent machine learning and deep learning methodologies for clinical applications. We believe that deep learning, in particular, supervised learning using convolutional neural networks for classification or segmentation, has recently been fully embraced and established as necessary technologies to aid clinical procedures by most medical professionals. However, we also believe that there remain many obstacles and issues for medical image analysis techniques to fully revolutionize clinical practice. More recent advances in machine learning and computer vision, including new works on semisupervised learning, weakly supervised learning, transfer learning, and unsupervised learning, may aid in many issues, such as alleviating the cost of collecting data annotations. Novel neural network structures such as graph neural networks and improved CNN structures from neural architecture search are also being proposed to improve the inference power given the same data.
Under this observation on recent trends, the Special Issue wants to contribute to the field of medical image analysis, presenting the most relevant advances based on recent developments in machine learning.Prof. Il Dong Yun
Prof. Soochahn Lee
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2300 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Medical image analysis
- Semisupervised learning
- Weakly supervised learning
- Transfer learning
- Unsupervised learning
- Graph neural networks
- Neural network architecture design and search
- Multitask learning
- Generative deep learning
- Reinforcement learning