Computer-Supported Diagnosis of Melanoma in Profilometry
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Laser profilometry offers new possibilities to improve non-invasive tumor diagnostics in dermatology. In this paper, a new approach to computer-supported analysis and interpretation of high-resolution skin-surface profiles of melanomas and nevocellular nevi is presented. Image analysis methods are used to describe the profile's structures by texture parameters based on co-occurrence matrices, features extracted from the Fourier power spectrum, and fractal features. Different feature selection strategies, including genetic algorithms, are applied to determine the best possible subsets of features for the classification task. Several architectures of multilayer perceptrons with error back-propagation as learning paradigm are trained for the automatic recognition of melanomas and nevi. Furthermore, network-pruning algorithms are applied to optimize the network topology. In the study, the best neural classifier showed an error rate of 4.5% and was obtained after network pruning. The smallest error rate in all, of 2.3%, was achieved with nearest neighbor classification.Keywords:
Melanoma diagnosis
Case examination of the skin is the first and foremost tool in the detection of skin cancer. Early diagnosis of malignant melanoma is possible with appreciation of certain color changes, surface changes, and border changes in pigmented lesions. Emphasis is placed upon these criteria for diagnosis and other associated phenomena that may lead to suspicion of early malignant melanoma.
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ABSTRACT Two cases of primary cutaneous melanoma with a granulomatous lesion were examined by the touch‐fluorescence method. This method makes it possible to demonstrate the melanogenic activity of melanoma cells within 30 minutes. The present study indicated that the touch‐fluorescence method using preparations from the outer surface of a lesion is helpful in preoperative diagnosis of malignant melanoma and that the same method using preparations from the cut surface is valuable in quick diagnosis of melanoma during surgery.
Melanoma diagnosis
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The incidence of melanoma is rising globally despite increased awareness. Familiarity with the clinical signs and certain risk factors for melanoma can result in early recognition, and potentially influence outcome. Unfortunately, there are several other cutaneous tumors, both malignant and benign, that resemble melanoma, and may confuse and possibly delay the diagnosis. This paper discusses the clinical characteristics of melanoma and its most common pigmented simulators.
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Melanoma diagnosis
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We diagnosed histologically 178 cases of malignant melanoma in 1990. Thirteen cases were recorded in which the diagnosis of malignant melanoma was not considered by the clinician prior to biopsy or, in retrospect, following pathologic diagnosis. Eight of the 13 lesions were amelanotic. The majority were deeply invasive at the time of biopsy, implying poor prognosis. Despite improvements in early detection of malignant melanoma, a significant subcategory of melanomas escapes clinical diagnosis.
Amelanotic melanoma
Melanoma diagnosis
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Cutaneous malignant melanoma is a type of skin cancer that you can die from. The number of patients being diagnosed with malignant melanoma of the skin is rising in most countries. About 4000 patients were diagnosed in Sweden in 2018. The risk of dying from cutaneous melanoma is very much dependent on the thickness of melanoma, a measure given by the pathologist after removing the melanoma. The risk of dying increases with increasing thickness. Most patients who are diagnosed with cutaneous melanoma will have thin melanomas, i.e. 1 mm or thinner.
Melanoma diagnosis
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Melanoma diagnosis
Translational Research
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Early detection of malignant melanoma is one of the greatest challenges for dermatologists. Dermoscopy is an in vivo method for the early diagnosis of malignant melanoma and the differential diagnosis of pigmented lesions of the skin. We report a 85-year-old man with a pigmented skin lesion in left mandibular region. Dermoscopy revealed evident characteristics of malignant melanoma. The total score was 7 points according to the 7- point checklist. Pathohistological examination confirmed diagnosis of melanoma.
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We describe a case in which a "punch biopsy" specimen of a conventional melanoma on the cheek of a 25-year-old man led to a problem in differentiating a desmoplastic malignant melanoma from cicatrix. The circumstances of this case raise the issue of whether desmoplastic melanoma can arise at the site of trauma within a pre-existing melanoma.
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Cheek
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