Herbert M. Kirchesch

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BACKGROUND It is often difficult to differentiate early melanomas from benign melanocytic nevi even by expert dermatologists, and the task is even more challenging for primary care physicians untrained in dermatology and dermoscopy. A computer system can provide an objective and quantitative evaluation of skin lesions, reducing subjectivity in the(More)
OBJECTIVE To better characterize the dermoscopic patterns of mucosal lesions in relation to the histopathologic characteristics. DESIGN Retrospective and observational study. SETTING Fourteen referral pigmented lesion clinics in 10 countries. PATIENTS A total of 140 pigmented mucosal lesions (126 benign lesions, 11 melanomas, 2 Bowen disease lesions,(More)
IMPORTANCE Nodular melanoma (NM) is a rapidly progressing potentially lethal skin tumor for which early diagnosis is critical. OBJECTIVE To determine the dermoscopy features of NM. DESIGN Eighty-three cases of NM, 134 of invasive non-NM, 115 of nodular benign melanocytic tumors, and 135 of nodular nonmelanocytic tumors were scored for dermoscopy(More)
BACKGROUND Skin cancer is among the most common types of cancer. Melanoma is the most fatal of all skin cancer types. The only effective treatment is early excision. Recognising melanoma is challenging both for general physicians and for expert dermatologists. A computer-aided diagnostic system improving diagnostic accuracy would be of great importance.(More)
Accurate detection of the borders of skin lesions is a vital first step for computer aided diagnostic systems. This paper presents a novel automatic approach to segmentation of skin lesions that is particularly suitable for analysis of dermoscopic images. Assumptions about the image acquisition, in particular, the approximate location and color, are used to(More)
Methods: We applied for the first time the two in vivo confocal microscopes commonly used in dermatology (VivaScope ® 1500 and 3000, CALIBER, distributed in Europe by Mavig GmbH, Munich, Germany) to observe the cornea, the bulbar and tarsal conjunctiva, the eyelid margin, the lacrimal punctum and the palpebral skin of healthy volunteers. Tumoral,(More)
Commercially available clinical decision support systems (CDSSs) for skin cancer have been designed for the detection of melanoma only. Correct use of the systems requires expert knowledge, hampering their utility for nonexperts. Furthermore, there are no systems to detect other common skin cancer types, that is, nonmelanoma skin cancer (NMSC). As early(More)
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