Laura Connolly, Amoon Jamzad, Martin Kaufmann, Rachel Rubino, Alireza Sedghi, Tamas Ungi, Mark Asselin, Scott Yam, John F. Rudan, Christopher Nicol, Gabor Fichtinger, Parvin Mousavi. Classification of tumor signatures from electrosurgical vapors using mass spectrometry and machine learning: a feasibility study. In Baowei Fei, Cristian A. Linte, editors, Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and Modeling, Houston, TX, USA, February 15-20, 2020. Volume 11315 of SPIE Proceedings, SPIE, 2020. [doi]
@inproceedings{ConnollyJKRSUAY20,
title = {Classification of tumor signatures from electrosurgical vapors using mass spectrometry and machine learning: a feasibility study},
author = {Laura Connolly and Amoon Jamzad and Martin Kaufmann and Rachel Rubino and Alireza Sedghi and Tamas Ungi and Mark Asselin and Scott Yam and John F. Rudan and Christopher Nicol and Gabor Fichtinger and Parvin Mousavi},
year = {2020},
doi = {10.1117/12.2549343},
url = {https://doi.org/10.1117/12.2549343},
researchr = {https://researchr.org/publication/ConnollyJKRSUAY20},
cites = {0},
citedby = {0},
booktitle = {Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and Modeling, Houston, TX, USA, February 15-20, 2020},
editor = {Baowei Fei and Cristian A. Linte},
volume = {11315},
series = {SPIE Proceedings},
publisher = {SPIE},
isbn = {9781510633971},
}