Deep learning-level melanoma detection by interpretable machine learning and imaging biomarker cues

Significance: Melanoma is a deadly cancer that physicians struggle to diagnose early because they lack the knowledge to differentiate benign from malignant lesions. Deep machine learning approaches to image analysis offer promise but lack the transparency to be widely adopted as stand-alone diagnost...

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Detalles Bibliográficos
Autores principales: Gareau, Daniel S., Browning, James, Correa Da Rosa, Joel, Suarez-Farinas, Mayte, Lish, Samantha, Zong, Amanda M., Firester, Benjamin, Vrattos, Charles, Renert-Yuval, Yael, Gamboa, Mauricio, Vallone, María G., Barragán-Estudillo, Zamira F., Tamez-Peña, Alejandra L., Montoya, Javier, Jesús-Silva, Miriam A., Carrera, Cristina, Malvehy, Josep, Puig, Susana, Marghoob, Ashfaq, Carucci, John A., Krueger, James G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Photo-Optical Instrumentation Engineers 2020
Materias:
Special Series on Artificial Intelligence and Machine Learning in Biomedical Optics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7702097/
https://www.ncbi.nlm.nih.gov/pubmed/33247560
http://dx.doi.org/10.1117/1.JBO.25.11.112906

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7702097/
https://www.ncbi.nlm.nih.gov/pubmed/33247560
http://dx.doi.org/10.1117/1.JBO.25.11.112906

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