Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz
Gewählte Publikation:
SHR Neuro Krebs Kardio Lipid Stoffw Microb
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
Doi: 10.2217/fon.12.84
Web of Science
PubMed
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FullText_MUG
- Führende Autor*innen der Med Uni Graz
- Ahlgrimm-Siess Verena
- Hofmann-Wellenhof Rainer
- Co-Autor*innen der Med Uni Graz
- Arzberger Edith Johanna
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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