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Special Issue "Computer-Aided Diagnosis and Characterization of Diseases"
Deadline for manuscript submissions: closed (30 September 2018).
Interests: advanced/quantitative/translational biomedical imaging and technologies, and all applications thereof
Tel. +1 312 567 5232
Interests: deep learning, machine learning, computer-aided diagnosis, and medical imaging
Special Issues and Collections in MDPI journals
Special Issue in Algorithms: Machine Learning for Medical Imaging 2012
Special Issue in Journal of Imaging: Image and Video Processing in Medicine
While traditional diagnosis remains a key component of clinical workup, many diseases can nowadays benefit from earlier and more refined characterization in order to make the most of increasingly advanced - often personalized - therapies and multimodality treatment regimens. In the modern multidisciplinary clinical context, such advances tend to rely on the collation and analysis of much varied information and data obtained through at various stages of a patient's workup. The extraction, quantity and variety of such data and their subsequent synthesis is often well beyond human capabilities and thus requires the use of advanced computed analysis. This is where the concept of Computer-Aided Diagnosis and related approaches arose from and, while those were initially developed for extracting and combining features derived from images (e.g., from modalities such as X-ray, CT, mammography, MR, US, PET and SPECT), they have subsequently and more recently been broadened to encompass all types of clinical data and biomarkers (from genomics to imaging, alongside etiology, environment, etc.), with the aim of providing an actionable understanding of disease to assist with its detailed characterization (e.g., type, stage) and optimize interventional strategies. This Special Issue will gather as comprehensive as possible a collection of relevant examples of such approaches at any stage of the clinical workup, across specialties, disciplines and applications.
Prof. Luc Bidaut
Prof. Kenji Suzuki
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 papers will be 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 quarterly 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 1000 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.
computer-aided detection and diagnosis
early detection, diagnosis, characterization and intervention