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Association Between Surgical Skin Markings in Dermoscopic Images and Diagnostic Performance of a Deep Learning Convolutional Neural Network for Melanoma Recognition.

08:00 EDT 14th August 2019 | BioPortfolio

Summary of "Association Between Surgical Skin Markings in Dermoscopic Images and Diagnostic Performance of a Deep Learning Convolutional Neural Network for Melanoma Recognition."

Deep learning convolutional neural networks (CNNs) have shown a performance at the level of dermatologists in the diagnosis of melanoma. Accordingly, further exploring the potential limitations of CNN technology before broadly applying it is of special interest.

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This article was published in the following journal.

Name: JAMA dermatology
ISSN: 2168-6084
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Medical and Biotech [MESH] Definitions

A noninvasive diagnostic technique that enables an experienced clinician to perform direct microscopic examination of the surface and architecture of pigmented SKIN lesions. The four major dermoscopic criteria are ABCD: asymmetry (A), borders (B), colors (C), and different structural components (D) providing a semiquantitative scoring system for each lesion.

Incision of tissues for injection of medication or for other diagnostic or therapeutic procedures. Punctures of the skin, for example may be used for diagnostic drainage; of blood vessels for diagnostic imaging procedures.

The process of generating three-dimensional images by electronic, photographic, or other methods. For example, three-dimensional images can be generated by assembling multiple tomographic images with the aid of a computer, while photographic 3-D images (HOLOGRAPHY) can be made by exposing film to the interference pattern created when two laser light sources shine on an object.

Methods and procedures for the diagnosis of disease or dysfunction by examination of the pathological site or operative field during surgical intervention.

Combination or superimposition of two images for demonstrating differences between them (e.g., radiograph with contrast vs. one without, radionuclide images using different radionuclides, radiograph vs. radionuclide image) and in the preparation of audiovisual materials (e.g., offsetting identical images, coloring of vessels in angiograms).

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