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OpenSim Ltd
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CH Instruments
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Bayer AG
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Cognivue Inc
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Ophthalmic Communications Society Inc
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ProMIS Neurosciences
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Johns Hopkins HealthCare
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Sony
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CH Instruments
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Image Search Results
Journal: Diagnostics
Article Title: Diagnostic Performance of a Support Vector Machine for Dermatofluoroscopic Melanoma Recognition: The Results of the Retrospective Clinical Study on 214 Pigmented Skin Lesions
doi: 10.3390/diagnostics9030103
Figure Lengend Snippet: Diagnostic accuracy of the dermatofluoroscopy validated on 165 lesions with and without region of interest (ROI)-normalization.
Article Snippet: Out of 141 non-melanoma lesions, as diagnosed by pathology (at least two pathologists provided the diagnosis: Not melanoma), 114 were classified correctly with the SVM-Model of the
Techniques: Diagnostic Assay
Journal: Diagnostics
Article Title: Diagnostic Performance of a Support Vector Machine for Dermatofluoroscopic Melanoma Recognition: The Results of the Retrospective Clinical Study on 214 Pigmented Skin Lesions
doi: 10.3390/diagnostics9030103
Figure Lengend Snippet: The ROI normalization principle. Four different scenarios in the clinical routine: ( a ) The region of interest (lesion boundaries) matches the area of measurement chosen by the DermaFC operator; no correction factors are used. ( b ) The whole lesion is measured together with the surrounding skin outside the tumor. ( c ) The fraction of the lesion and no healthy skin is measured. ( d ) Both factors are used for normalization of ROI, as the lesion is not completely measured, and a significant part of the scan area covers the skin around the tumor.
Article Snippet: Out of 141 non-melanoma lesions, as diagnosed by pathology (at least two pathologists provided the diagnosis: Not melanoma), 114 were classified correctly with the SVM-Model of the
Techniques: