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Image of the week - Melanoma image analysis

Image of the week - Melanoma image analysis

Nancy Thomas, an associate professor in the School of Medicine at the University of North Carolina specializing in melanoma research, leads the Melanoma Image Analysis project. Her team is looking at the use of image analysis approaches to aid in diagnosis and prognosis of melanoma from patient pathology slides. Based on prior research from Thomas and others, we know that observable characteristics of melanoma can stem from more than one type of genetic mutation.

This project is working under the hypothesis that image analysis will allow for the quantitative extraction of melanoma features and that such features can be used to both identify cancerous tissues and link melanoma phenotype with genotype. If true, this will lead to enhanced prediction of patient survival and guide future treatment options. The research should result in a more robust and clinically relevant melanoma classification system based on causal pathways.

Computing experts at the Renaissance Computing Institute (RENCI) work with the project team to develop the image analysis algorithms for extracting melanoma features that can lead to clinically relevant tests.

Image courtesy of RENCI

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