Machine Learning in Biomedical Images, Signals and Data Processing

Dear Colleagues,

Biomedical image, signal, and data processing is making great strides in machine learning applications and offers many opportunities to improve the quality of related biomedical research. However, there are still many foreseeable challenges such as system performance, data volume, data labeling and quality analysis, etc. The goal of this Special Issue is to invite interested parties to publish original manuscripts and present state-of-the-art research regarding machine learning techniques in this field. Using artificial intelligence to analyze medical images and signals, the prediction of clinical diagnosis or prognosis will become feasible through applications of machine learning methodologies. We welcome submissions of applications of various types of biomedical images, signals, and data combined with the implementation of the latest machine and deep learning methods, and propose innovative methods to solve existing imaging/data challenges in the biomedical and health fields.

Topics of interest include, but are not limited to:

• Machine learning or deep learning algorithms for biomedical image, signal and data processing applications;
• Disease classification and prognosis prediction based on biomedical image,signal and data processing;
• Segmentation and anomaly detection based on biomedical images;
• Biomedical image denoising and quality improvement;
• Biomedical image, signal and data processing for therapy monitoring;
• Big data or multimodal data processing for predicting clinical outcomes;
• Biomedical image quality assessment;
• Disease severity assessment based on biomedical image, signal and data processing.

Prof. Dr. Tsair-Fwu Lee
Dr. Jack Yang
Dr. Chih-Hsueh Lin
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. 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 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.

• machine learning
• deep learning
• biomedical images
• biomedical signals
• data processing
• big data
• disease classification
• prognosis prediction
• image segmentation and anomaly detection
• image denoising and quality improvement
• therapy monitoring
• image quality assessment
• disease severity assessment