Computer Vision for Biomedical Image Applications

Dear Colleagues,

The MDPI Information Journal invites submissions to a special issue on “Computer Vision for Biomedical Image Applications”

Computer Vision (CV) has become instrumental in biomedical applications, supporting physicians in various tasks, such as diagnostic decisions, surgeries, medical image/video analysis and medical research. CV processes aim to simulate an expert’s eye in locating normal areas or suspicious patterns on medical imagery, providing a second opinion in critical diagnoses. Moreover, the raw medical imaging data ask for interpretation, in order to extract information which is valuable for the expert, as well as to create an enriched decision framework for physicians to understand each health case and predict its progress. CV can save a significant amount of human effort and aid in saving lives.

Machine Learning (ML) offers algorithms capable of learning complex and high-dimensional patterns. Equipped with feedback mechanisms such as backpropagation, machine learning algorithms are capable to acquire expertise and propose diagnoses on similar cases with a considerable success rate.  

Another ML-related aspect is the increasing number of connected medical devices, which results in amounts of data reaching the scale of up to zetabytes (ZB) per year. In this light, The Computer Vision for Biomedical Image Applications issue aims to address the recent paradigm of Deep Learning, which naturally copes with Big Data.

The combined use of CV and ML in biomedical applications triggered a new era in computerized medical diagnosis. Today, a huge number of efficient approaches / applications and systems are final products and support medical decisions in fields like dermatology, radiology, cardiology, embryology etc.

This Special Issue is concerned with ground-breaking topics of Computer Vision for Biomedical Applications.

Prof. Stavros A. Karkanis
Prof. Evaggelos Spyrou
Prof. Michalis Savelonas
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 250 words) can be sent to the Editorial Office for assessment.

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. Information is an international peer-reviewed open access monthly 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 1800 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.