Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz

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Ahlgrimm-Siess, V; Laimer, M; Arzberger, E; Hofmann-Wellenhof, R; .
New diagnostics for melanoma detection: from artificial intelligence to RNA microarrays.
Future Oncol. 2012; 8(7):819-827
Web of Science PubMed FullText FullText_MUG

 

Autor/innen der Med Uni Graz:
Ahlgrimm-Siess Verena
Arzberger Edith Johanna
Hofmann-Wellenhof Rainer
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Abstract:
Early detection of melanoma remains crucial to ensuring a favorable prognosis. Dermoscopy and total body photography are well-established noninvasive aids that increase the diagnostic accuracy of dermatologists in their daily routine, beyond that of a naked-eye examination. New noninvasive diagnostic techniques, such as reflectance confocal microscopy, multispectral digital imaging and RNA microarrays, are currently being investigated to determine their utility for melanoma detection. This review presents emerging technologies for noninvasive melanoma diagnosis, and discusses their advantages and limitations.
Find related publications in this database (using NLM MeSH Indexing)
Artificial Intelligence -
Dermoscopy - instrumentation Dermoscopy - methods
Early Diagnosis -
Electric Impedance -
Humans -
Image Processing, Computer-Assisted - methods
Magnetic Resonance Imaging -
Melanoma - diagnosis Melanoma - ultrasonography
Microarray Analysis - methods
Microscopy, Confocal - methods
Skin Neoplasms - diagnosis
Spectrum Analysis, Raman - methods

Find related publications in this database (Keywords)
automated melanoma diagnosis
dermoscopy
electrical bioimpedance
noninvasive melanoma diagnosis
noninvasive RNA microarrays
optical coherence tomography
real-time Raman spectroscopy
reflectance confocal microscopy
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