Deep Learning and Artificial Intelligence Method for Diagnostics in Laryngology and Masticatory System Based on Medical Imaging and Sensing

Dear Colleagues,

Nowadays, achievements in medicine and disease diagnosis based on sensors have reached an extraordinary level. Needless to say, progress would hardly be possible without the support of advanced technologies. The enormous possibilities in medical imaging and sensing, along with the development of medical image data handling methods, have formed the foundations for helping patients and making people's health and quality of life significantly better. Having said that, it is important to realize that we, as scientists, play a crucial role in this whole process.

Therefore it is our pleasure to invite scholars to submit their research papers to this Special Issue of the MDPI journal Sensors devoted to the applications of deep learning and computer vision in widely understood laryngology and masticatory system diagnosis. We are looking for your contribution to the field of uni- or multimodal medical image data analysis, the development of improvements in medical imaging quality, supporting the diagnosis of diseases, supported or autonomous medical imagery data analysis, and many other brilliant areas. High-quality research papers addressing, but not limited to, the topic of laryngology or masticatory systems are very welcome. We strongly believe that the Special Issue will be the place where exceptional scientific thoughts meet and will establish new standards for knowledge and scientific experience sharing.

Prospective authors are invited to submit original manuscripts on sensors, topics including but not limited to:

• Sensor-based medical image processing in laryngeal/ masticatory system diagnosis;
• Computed tomography;
• Micro-computed tomography;
• Cone beam computer tomography;
• Optical coherence tomography;
• Magnetic resonance;
• Ultrasonography;
• Computer-aided diagnosis.

Dr. Sebastian Iwaszenko
Dr. Karolina Nurzynska
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.

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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.