Localizing the dermis/epidermis boundary in reflectance confocal microscopy images with a hybrid classification algorithm Conference Paper


Authors: Kurugol, S.; Dy, J. G.; Rajadhyaksha, M.; Brooks, D. H.
Title: Localizing the dermis/epidermis boundary in reflectance confocal microscopy images with a hybrid classification algorithm
Conference Title: 6th IEEE International Symposium on Biomedical Imaging: From Nano to Macro
Abstract: Confocal reflectance microscopy is an emerging modality, for dermatology applications, especially for in-situ and bedside detection of skin cancers. As this technology gains acceptance, automated processing methods become increasingly important to develop. Since the dominant internal feature of the skin is the epidermis/dermis boundary, it has been chosen as the initial target for this development. This boundary is a complex corrugated 3D layer marked by optically subtle changes and features. Indeed, even trained clinicians in an attempt at validation of our early work, were unable to precisely and reliably locate the boundary within optical resolution. Thus here we propose to detect two boundaries, a lower boundary for the epidermis and an upper boundary for the dermis thus trapping the epidermis/dermis boundary. We use a novel combined segmentation/classification approach applied to z-sequences of tiles in the 3D stack. The approach employs a sequential classification on texture features, selected via on-line feature selection, to minimize the labeling required and to cope with high inter- and intra-subject variability and low optical contrast. Initial results indicate the ability of our approach to find these two boundaries successfully for most of the z-sequences from the stack. © 2009 IEEE.
Keywords: three dimensional; confocal microscopy; skin; reflectance confocal microscopies; reflection; locally smooth svm; sequence segmentation; automated processing; hybrid classification; in-situ; internal features; line features; lower boundary; optical contrast; optical resolution; skin cancers; texture features; upper boundary; building materials; copying; d region; support vector machines
Journal Title International Symposium on Biomedical Imaging. Proceedings
Conference Dates: 2009 Jun 28-Jul 1
Conference Location: Boston, MA
ISBN: 1945-7928
Publisher: IEEE  
Date Published: 2009-01-01
Start Page: 1322
End Page: 1325
Language: English
DOI: 10.1109/ISBI.2009.5193308
PROVIDER: scopus
DOI/URL:
Notes: --- - "Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009" - "Export Date: 30 November 2010" - "Art. No.: 5193308" - "Source: Scopus"
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