Machine and Deep Learning in Sensing and Imaging

Dear Colleagues,

The application of machine and deep learning methods in sensing and imaging can potentially have a significant and profound impact on analysis and treatment of the human body, therapeutic decisions, and may ultimately improve the outcome for patients. A wide range of machine and deep learning methods have been applied to analyze and interpret data of various kinds from sensors embedded in different tools and devices, or from portable sensor devices. Advances in network design, processing power, the availability of easy-to-use software packages, and the scale of available medical image databases have accelerated the developments in this exciting field. Nevertheless, studies evaluating the potential applications of machine and deep learning methods for detection, lesion segmentation, therapeutic decision, and prognosis of human body disease are still relatively sparse.

This Special Issue encourages authors from academia and industry to submit new research results regarding methods and applications in this field. We welcome high-quality original research or review articles relating to the application of current machine and deep learning methods to the human body, including clinical applications, methods, data augmentation, machine learning interpretation, and new algorithm design. The Special Issue topics include, but are not limited to:

• Medical imaging
• Biomedical engineering
• Data fusion techniques
• Human body imaging and therapy
• Imaging modality
• Decision support algorithms
• Predictive modelling of treatment efficacy
• Multi-parametric study

Dr. Kate Saenko
Guest Editor

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. Sensors 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.