Dear Colleagues,

Quantitative radiology (QR), when brought to routine clinical practice, will bring about a significant enhancement of the role of radiology in the medical milieu, potentially spawning numerous new advances in medicine. Currently, more and more medical images (MRI, CT, Ultrasound, PETCT, OCT, etc.) are being collected and analyzed for disease quantification body-region-wide or bodywide in patients with cancer and/or disease conditions, and clinical tasks related with medical images including screening, detection/diagnosis, staging, prognosis assessment, treatment planning, treatment prediction assessment, treatment response assessment, and restaging/surveillance. New algorithms for medical image processing will play the role of an engineer for the above clinical tasks.

In this Special Issue, we shall focus on the vast range of new algorithms for medical image processing, analysis, and quantification. Machine learning, especially deep learning, has recently been widely investigated and has shown its power in medical image segmentation, registration, classification, responde prediction, etc. We welcome manuscripts using unsupervised or supervised learning based on statistical and mathematical models for all the above clinical tasks in this Special Issue. Other topics include but are not limited to new algorithms on medical image segmentation, registration, disease response prediction, classification, image quality enhancement, image construction, and new systems in computer-aided diagnosis, perception, image-guided procedures, biomedical applications, informatics, radiology, and digital pathology.

Prof. Dr. Syoji Kobashi
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 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.

• Artificial intelligence
• Deep learning
• Statistical model
• Medial image processing
• Prediction
• Personalized medicine
• Digial heatlh
• Patient saisfaction
• Computer-aided systems
• Deep medicine