Classification of tumor signatures from electrosurgical vapors using mass spectrometry and machine learning: a feasibility study

TitleClassification of tumor signatures from electrosurgical vapors using mass spectrometry and machine learning: a feasibility study
Publication TypeConference Paper
Year of Publication2020
AuthorsConnolly, L., Jamzad A., Kaufmann M., Rubino R., Sedghi A., Ungi T., Asselin M., Yam S., Rudan J., Nicol C., Fichtinger G., & Mousavi P.
Conference NameMedical Imaging 2020: Image-Guided Procedures, Robotic Interventions and Modeling
Volume11315
Date Published2020
PublisherSPIE
Conference LocationHouston, Texas, United States
DOI10.1117/12.2549343
PerkWeb Citation KeyConnolly2020a

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