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The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions
TLDR
Training of neural networks for automated diagnosis of pigmented skin lesions is hampered by the small size and lack of diversity of available datasets of dermatoscopic images. Expand
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Dermoscopy of pigmented skin lesions: results of a consensus meeting via the Internet.
BACKGROUND There is a need for better standardization of the dermoscopic terminology in assessing pigmented skin lesions. OBJECTIVE The virtual Consensus Net Meeting on Dermoscopy was organized toExpand
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Automated Melanoma Recognition
TLDR
A system for the computerized analysis of images obtained from ELM has been developed to enhance the early recognition of malignant melanoma with a sensitivity of 87% with a specificity of 92%. Expand
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Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)
TLDR
This work summarizes the results of the largest skin image analysis challenge in the world, hosted by the International Skin Imaging Collaboration (ISIC), a global partnership that has organized the world's largest public repository of dermoscopic images of skin. Expand
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Diagnostic accuracy of dermoscopy.
The accuracy of the dinical diagnosis of cutaneous melanoma with the unaided eye is only about 60%. Dermoscopy, a non-invasive, in vivo technique for the microscopic examination of pigmented skinExpand
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Predictive role of interphase cytogenetics for survival of patients with multiple myeloma.
PURPOSE Recent metaphase cytogenetic studies suggested that specific chromosomal abnormalities are of prognostic significance in patients with multiple myeloma (MM). Because the true incidence ofExpand
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Clinical improvement in psoriasis with specific targeting of interleukin-23
Psoriasis is a chronic inflammatory skin disorder that affects approximately 2–3% of the population worldwide and has severe effects on patients’ physical and psychological well-being. The discoveryExpand
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A Comparison of Machine Learning Methods for the Diagnosis of Pigmented Skin Lesions
TLDR
We analyze the discriminatory power of k-nearest neighbors, logistic regression, artificial neural networks (ANNs), decision tress, and support vector machines (SVMs) on the task of classifying pigmented skin lesions. Expand
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Follow-up of melanocytic skin lesions with digital epiluminescence microscopy: patterns of modifications observed in early melanoma, atypical nevi, and common nevi.
BACKGROUND Digital epiluminescence microscopy (DELM) has been reported to be a useful technique for the follow-up of melanocytic nevi. One of the promises of this technique is to identifyExpand
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Biological false-positive tests comprise a high proportion of Venereal Disease Research Laboratory reactions in an analysis of 300,000 sera
This retrospective study on syphilis screening at the sexually transmitted infection (STI) unit of a University Department emphasizes the necessity of a treponemal-specific test as the appropriateExpand
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