Machine Learning and Deep Learning in Image Analysis for Biological Systems
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Bioelectronics".
Deadline for manuscript submissions: 16 July 2024 | Viewed by 840
Special Issue Editors
Interests: image processing; machine learning; deep learning; precision agriculture; big data; data science
Interests: machine learning; data science; healthcare; high-performance computing; big data; image processing
Special Issue Information
Dear Colleagues,
We are pleased to invite you to submit contributions for our upcoming Special Issue entitled "Machine Learning and Deep Learning in Image Analysis of Biological Systems".
Computer vision and machine learning techniques have been endorsed as the latest cross-cutting technologies of the 21st century. The combined applications of these technologies have set a new benchmark for the understanding of complex biological systems. This Special Issue will cover the applications of machine learning or deep learning in computer vision for understanding complex biological systems, including humans, animals, and plants. The accurate extraction of high-level features from images is crucial in complex scenes. However, correctly and efficiently extracting features from images/videos is one of the most challenging tasks in computer vision. Moreover, visual recognition with the human eye is time-consuming, tedious, inefficient, costly, and sometimes impossible. With the advent of high-performance computing hardware and various deep learning algorithms, the automatic analysis of many images/videos was made possible, enabling further automation processes. Therefore, deep learning algorithms automatically identify and extract nuanced patterns of features available in images that help to understand the complex scene accurately. The automatic retrieval of features allows a system to improve its decision-making ability by reducing the chances of interference by irrelevant features in the decision-making process. This leads to an improvement in the performance of the system, which is key for any computer vision application. This Special Issue focuses on the effects of combining machine learning/deep learning and computer vision, innovative techniques, and application-oriented concepts for biological systems. Therefore, the submission of critical reviews on these topics for this Special Issue are welcome.
Also for this Special Issue, original research articles and reviews are welcome. Potential topics for discussion may include (but are not limited to) the following:
- Computer vision;
- Machine learning;
- Deep learning;
- Image analysis;
- Video processing;
- Bioinformation;
- Biomedical;
- Precision agriculture;
- Healthcare.
We look forward to receiving your contributions.
Dr. Anil Bhujel
Dr. Khem Narayan Poudel
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. Electronics 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 2400 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
- machine learning
- deep learning
- computer vision
- bioinformation
- big data
- healthcare
- precision agriculture
