Machine Learning-Based Digital Imaging Diagnosis

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Machine Learning and Artificial Intelligence in Diagnostics".

Deadline for manuscript submissions: closed (30 November 2023) | Viewed by 641

Special Issue Editor

Department of Medical Imaging and Radiological Science, Central Taiwan University of Science and Technology, Takun, Taichung 406, Taiwan
Interests: radiological science; instrumental optimization; biokinetic model
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Papers on the practical application of artificial intelligence (AI) to digital imaging, with a focus on clinical diagnosis, potential artifact identification, or preventive medicine, are invited to be submitted to this Special Issue, entitled "Machine Learning-based Digital Imaging Diagnosis". AI-related studies may include machine learning techniques, data mining analyses, inverse problem algorithms, neural networks, or any other approaches broadening the application of computer-aided and numerical methods to improve imaging diagnosis accuracy in the clinical field. Papers involving the processing or post-processing of digital images obtained via CT, PET-CT, X-ray, MRI, gamma camera, or sonography, as well as the respective results of specific studies or practical surveys, are welcome. Since computer-aided diagnosis has unique features in assisting routine diagnosis, it should be seamlessly and comprehensively implemented into clinical surveys. Many presumptions have to be considered in advance in order to fulfill future needs. Improving diagnostic accuracy and reproducibility is a challenge addressed in this Special Issue from various perspectives.

Dr. Lung-Kwang Pan
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. Diagnostics 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.

Keywords

  • machine learning techniques
  • data mining analysis
  • inverse problem algorithm
  • neutral network analysis
  • imaging diagnosis
  • preventive medicine
  • artifact identification

Published Papers

There is no accepted submissions to this special issue at this moment.
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