Advanced Applications of Deep Learning Methods in Medical Diagnosis

Dear Colleagues,

A multitude of medical data from patients provide valuable information for diagnosing various diseases. However, it is cumbersome for clinicians to examine these data manually. In recent years, with advances in computer technology and mathematical methods, deep learning methods have been widely used in medical diagnosis; thus, medical diagnosis based on deep learning has become an important research direction.

This Special Issue, entitled "Advanced Applications of Deep Learning Methods in Medical Diagnosis", aims to highlight the latest advances in the field of deep learning for medical diagnosis. We invite authors to submit original research articles as well as review articles, focusing on (but not limited to) the following topics:

• Deep learning of multimodal medical data;
• Deep learning for lesion recognition and localization in medical images;
• Deep learning for medical image processing;
• Interpretability of medical diagnosis in deep learning;
• Semi-supervised learning in medical diagnosis;
• Medical generation models;
• Computer-aided diagnosis systems based on deep learning.

Dr. Chao Tong
Dr. Xiaojun Wang
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. Mathematics 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.

• deep learning
• machine learning
• medical diagnosis
• medical data
• medical image processing
• medical system