LEADER 02750oam 2200505 450 001 9910299713703321 005 20190911112726.0 010 $a3-642-39608-9 024 7 $a10.1007/978-3-642-39608-3 035 $a(OCoLC)869772685 035 $a(MiFhGG)GVRL6WHM 035 $a(EXLCZ)993710000000025202 100 $a20130903d2014 uy 0 101 0 $aeng 135 $aurun|---uuuua 181 $ctxt 182 $cc 183 $acr 200 00$aComputer vision techniques for the diagnosis of skin cancer /$fJacob Scharcanski, M. Emre Celebi, editors 205 $a1st ed. 2014. 210 1$aHeidelberg [Germany] :$cSpringer,$d2014. 215 $a1 online resource (x, 282 pages) $cillustrations (chiefly color) 225 1 $aSeries in BioEngineering,$x2196-8861 300 $a"ISSN: 2196-8861." 300 $a"ISSN: 2196-887X (electronic)." 311 $a3-642-39607-0 320 $aIncludes bibliographical references. 327 $aEnhancement of skin images -- Registration of skin images -- Segmentation of skin images -- Feature extraction from skin images -- Classification of skin images. 330 $aThe goal of this volume is to summarize the state-of-the-art in the utilization of computer vision techniques in the diagnosis of skin cancer. Malignant melanoma is one of the most rapidly increasing cancers in the world. Early diagnosis is particularly important since melanoma can be cured with a simple excision if detected early. In recent years, dermoscopy has proved valuable in visualizing the morphological structures in pigmented lesions. However, it has also been shown that dermoscopy is difficult to learn and subjective. Newer technologies such as infrared imaging, multispectral imaging, and confocal microscopy, have recently come to the forefront in providing greater diagnostic accuracy. These imaging technologies presented in this book can serve as an adjunct to physicians and  provide automated skin cancer screening. Although computerized techniques cannot as yet provide a definitive diagnosis, they can be used to improve biopsy decision-making as well as early melanoma detection, especially for patients with multiple atypical nevi. 410 0$aSeries in bioengineering. 606 $aSkin$xCancer$xDiagnosis 606 $aDiagnostic imaging 606 $aMelanoma$xDiagnosis 615 0$aSkin$xCancer$xDiagnosis. 615 0$aDiagnostic imaging. 615 0$aMelanoma$xDiagnosis. 676 $a620 702 $aScharcanski$b Jacob 702 $aCelebi$b M. Emre 801 0$bMiFhGG 801 1$bMiFhGG 906 $aBOOK 912 $a9910299713703321 996 $aComputer Vision Techniques for the Diagnosis of Skin Cancer$92289763 997 $aUNINA