Impact of Deep Learning in Biomedical Engineering
A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Machine Learning and Artificial Intelligence in Diagnostics".
Deadline for manuscript submissions: 31 May 2024 | Viewed by 1331
Special Issue Editors
Interests: biomedical signal and image processing; deep learning; medical image processing; machine learning; artificial intelligence; healthcare
Interests: biomedical signal and image processing; deep learning; medical image processing; machine learning; artificial intelligence; healthcare
Special Issue Information
Dear Colleagues,
Understanding and using complex, high-dimensional, and heterogeneous biological data continues to be a major challenge in the transformation of healthcare. Feature engineering is generally required in traditional data mining and statistical learning techniques for building prediction models to extract useful and more robust features from data. New efficient paradigms for creating end-to-end learning models from complex data are provided by the most recent advancements in deep learning.
The aim of this Special Issue is to examine the state-of-the-art deep learning techniques employed for different problems in the field of biomedical engineering. We invite authors to contribute original research articles and reviews related to deep learning for biomedical engineering. Articles that examine cutting-edge deep learning methods will be highly appreciated.
Dr. Karthik Ramamurthy
Dr. Menaka Radhakrishnan
Dr. Daehan Won
Guest Editors
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. Diagnostics 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 2600 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.
Keywords
- deep learning
- biomedical engineering
- convolutional neural networks
- recurrent neural networks
- reinforcement learning
- neuroimaging
- diagnostic imaging
- medical imaging
- biosignal processing
