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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Veröffentlicht in:J Biomed Opt
Hauptverfasser: 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.
Format: Artigo
Sprache:Inglês
Veröffentlicht: Society of Photo-Optical Instrumentation Engineers 2020
Schlagworte:
Special Series on Artificial Intelligence and Machine Learning in Biomedical Optics
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7702097/
https://ncbi.nlm.nih.gov/pubmed/33247560
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JBO.25.11.112906
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