Breakthroughs in Breast Radiology
A special issue of Tomography (ISSN 2379-139X).
Deadline for manuscript submissions: closed (15 May 2024) | Viewed by 3270
Special Issue Editor
Special Issue Information
Dear Colleagues,
The past decade has seen a surge in the number of emerging imaging modalities that are clinically available, or nearly so. Coupled with the emergence of AI and deep learning, which are driving forces in the creation, processing, and interpretation of clinical images, there is tremendous potential for impacting the standard of care for patients. This Special Issue will focus on the latest developments in breast radiology that will strengthen imaging as the orchestrator of patient workflow in these value-driven times. Projects and manuscripts evaluating the clinical utility of these imaging methods are especially of interest.
Dr. Matthew A. Lewis
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. Tomography is an international peer-reviewed open access monthly journal published by MDPI.
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Keywords
- breast ultrasound tomography
- photoacoustics
- contrast-enhanced ultrasonography
- spectral mammography
- contrast-enhanced digital mammography and breast tomosynthesis
- chemical exchange or hyperpolarized breast MRI
- positron emission mammography and molecular breast imaging
- breast specific CT and PET
- opportunistic imaging of the breast
- AI-enhanced breast image interpretation and analysis
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