2002
DOI: 10.1016/s0733-8635(02)00040-2
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Computer-aided melanoma diagnosis

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Cited by 22 publications
(9 citation statements)
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“…Another option for determining skin chromophores distribution is to use several narrow spectral bands as in the multispectral imaging system. 9 This approach presents the advantage of offering spatial information allowing to visualize chromophore distribution. A key point is then to accurately compute pigment concentration from reflectance images.…”
Section: Introductionmentioning
confidence: 99%
“…Another option for determining skin chromophores distribution is to use several narrow spectral bands as in the multispectral imaging system. 9 This approach presents the advantage of offering spatial information allowing to visualize chromophore distribution. A key point is then to accurately compute pigment concentration from reflectance images.…”
Section: Introductionmentioning
confidence: 99%
“…Reported the computer-aided diagnosis for the pigmentations of skin lesions to determine the presence of skin cancer by performing the boundary detection. 35 Skin lesions can also be analysed by qualication of degree of symmetry. The other paper explains Found that combination of total body examination, TBP and dermoscopy provides accurate result in detecting the early stage of melanoma that melanoma can be diagnosed by wavelet and texture analysis.…”
Section: Photographymentioning
confidence: 99%
“…A diagnostic tool, which increases patient throughput in skin cancer screening and improves the diagnostic accuracy, would help to detect tumors before they metastasize and also to cut the numbers of unnecessary biopsies. Despite substantial research, diagnosis techniques such as impedance spectroscopy [119], multispectral imaging [120], confocal laser scanning microscopy [121], infrared spectroscopy [122], and Raman spectroscopy [123] have not yet made a breakthrough into clinical use and visual inspection remains the main diagnostic procedure. Millimeter-wave skin cancer diagnosis could fill the gap.…”
Section: Using Millimeter Waves For Diagnosis Of Skin Cancermentioning
confidence: 99%