New diagnostics for melanoma detection: From artificial intelligence to RNA microarrays

Future Oncology

Volumn 8, Issue 7, 2012, Pages 819-827

  Ahlgrimm Siess, Verena ^a   Laimer, Martin ^a   Arzberger, Edith ^b   Hofmann Wellenhof, Rainer ^b  

^a PARACELSUS MEDICAL UNIVERSITY   (Austria)

^b MEDICAL UNIVERSITY OF GRAZ   (Austria)

Author keywords

automated melanoma diagnosis; dermoscopy; electrical bioimpedance; noninvasive melanoma diagnosis; noninvasive RNA microarrays; optical coherence tomography; real time Raman spectroscopy; reflectance confocal microscopy

Indexed keywords

RNA;

ANALYZER; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; AUTOMATION; CANCER DIAGNOSIS; CONFOCAL MICROSCOPY; DIGITAL DERMOSCOPY ANALYZER; ELECTRICAL BIOIMPEDANCE; HUMAN; IMAGE ANALYSIS; IMPEDANCE; IN VIVO STUDY; MELANOMA; MICROARRAY ANALYSIS; NUCLEAR MAGNETIC RESONANCE IMAGING; OPTICAL COHERENCE TOMOGRAPHY; PRIORITY JOURNAL; REFLECTANCE CONFOCAL MICROSCOPY; REVIEW; SENSITIVITY AND SPECIFICITY; ULTRASOUND;

ARTIFICIAL INTELLIGENCE; DERMOSCOPY; EARLY DIAGNOSIS; ELECTRIC IMPEDANCE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MELANOMA; MICROARRAY ANALYSIS; MICROSCOPY, CONFOCAL; SKIN NEOPLASMS; SPECTRUM ANALYSIS, RAMAN;

EID: 84864440099     PISSN: 14796694     EISSN: 17448301     Source Type: Journal    
DOI: 10.2217/fon.12.84     Document Type: Review

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