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Matthew G. Fleming

Researcher at Medical College of Wisconsin

Publications -  13
Citations -  1630

Matthew G. Fleming is an academic researcher from Medical College of Wisconsin. The author has contributed to research in topics: Image segmentation & Bullous pemphigoid. The author has an hindex of 9, co-authored 13 publications receiving 1535 citations. Previous affiliations of Matthew G. Fleming include University of North Carolina at Chapel Hill.

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Dermoscopy of pigmented skin lesions: results of a consensus meeting via the Internet

Giuseppe Argenziano, +56 more
TL;DR: The virtual Consensus Net Meeting on Dermoscopy represents a valid tool for better standardization of the dermoscopic terminology and, moreover, opens up a new territory for diagnosing and managing pigmented skin lesions.
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Mast cells play a key role in neutrophil recruitment in experimental bullous pemphigoid

TL;DR: It is shown that mast cells (MCs) play a crucial role in neutrophil recruitment during subepidermal blister formation in experimental BP, providing the first direct evidence to the authors' knowledge that MCs play an essential role.
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A pathogenic role for IgE in autoimmunity: bullous pemphigoid IgE reproduces the early phase of lesion development in human skin grafted to nu/nu mice.

TL;DR: Early evidence is provided of a direct demonstration of a pathogenic role for IgE class autoantibodies in a human autoimmune disease, Bullous pemphigoid, by injecting BP IgE into human skin grafted onto athymic, nude mice.
Journal ArticleDOI

Techniques for a structural analysis of dermatoscopic imagery.

TL;DR: Techniques were developed for automated detection and characterization of dermatoscopic structures, including the pigment network and brown globules, which incorporate algorithms for grayscale shape extraction based on differential geometry developed by Steger and a modification of the region competition strategy of Zhu and Yuille.
Proceedings ArticleDOI

Segmentation of dermatoscopic images by stabilized inverse diffusion equations

TL;DR: Several segmentation techniques were evaluated for their effectiveness in distinguishing lesion from background in dermatoscopic images of pigmented lesions (moles and melanomas).