Medical Image Analysis: Image Analysis in Dermatology Call for Papers

Medical Image Analysis (MIA) is seeking original and unpublished manuscripts for a special issue on Image Analysis in Dermatology:

Medical image analysis has a long and distinguished history spanning
nearly six decades. As a matter of fact, the evolution of the general
field of image analysis largely parallels that of medical image
analysis as some of the earliest image analysis techniques were
developed in the context of medical applications. Image analysis in
general, and medical image analysis in particular, have historically
focused on single-channel (monochromatic) images. A notable exception
is dermatology, a subfield of medicine where images are typically
acquired in color. While color provides enhanced visualization of
surface and subsurface structures of the skin, it also presents new
challenges for researchers and practitioners as the numerous methods
developed for single-channel images are generally inapplicable to
multichannel images. In addition, there are remarkable visual
similarities among skin diseases, and compared to other medical
imaging domains, varying genetics, disease states, imaging equipment,
and imaging conditions can significantly alter the appearance of the
skin, making automated analysis in this domain highly
challenging. This MIA special issue aims to collect state-of-the-art
research findings in the field of dermatological image analysis. We
are interested in contributions involving a wide a variety of
modalities including, but not limited to, clinical photography,
dermoscopy, total-body photography, ultrasonography, computed
tomography, positron emission tomography, optical coherence
tomography, confocal microscopy, infrared imaging, thermal imaging,
multispectral imaging, and hyperspectral imaging.

This special issue aims to cover all aspects of dermatological image
analysis. Topics of interest include, but are not limited to:

+ Enhancement
+ Registration
+ Segmentation
+ Feature Extraction
+ Content-Based Retrieval
+ Synthetic Image Generation
+ Classification
+ Visualization

Paper Submission
Please ensure that you read the Guide for Authors before writing your
manuscript. The Guide for Authors and manuscript submission link are
available on MIA's homepage

When submitting your manuscript, please select the article type
VSI: Img Anal Derm. Please submit your manuscript latest by
March 1, 2021.

Manuscripts submitted to this special issue must be unpublished and
may not be under consideration elsewhere. All submissions deemed
suitable to be sent for peer review will be reviewed by at least two
independent reviewers. Once your manuscript is accepted, it will go
into production, and will be simultaneously published in the current
regular issue and pulled into the online special issue. Articles from
this special issue will appear in different regular issues of the
journal, though they will be clearly marked and branded as special
issue articles.

Special Issue Organizers
M. Emre Celebi, Ph.D. (University of Central Arkansas, Conway, AR, USA)
Catarina Barata, Ph.D. (Instituto Superior Tecnico, Lisbon, Portugal)
Allan Halpern, M.D. (Memorial Sloan Kettering Cancer Center, New York City, NY, USA)
Philipp Tschandl, M.D. Ph.D. (Medical University of Vienna, Vienna, Austria)
Marc Combalia, M.Sc. (Hospital Clinic of Barcelona, Barcelona, Spain)
Yuan Liu, Ph.D. (Google Health, Palo Alto, CA, USA)
Ender Konukoglu, Ph.D. (ETH-Zurich, Zurich, Switzerland)

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