Uncertainty estimation for margin detection in cancer surgery using mass spectrometry

Author:

Fooladgar Fahimeh,Jamzad Amoon,Connolly Laura,Santilli Alice,Kaufmann Martin,Ren Kevin,Abolmaesumi Purang,Rudan John F.,McKay Doug,Fichtinger Gabor,Mousavi Parvin

Funder

Southeastern Ontario Academic Medical Organization

Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Radiology, Nuclear Medicine and imaging,General Medicine,Surgery,Computer Graphics and Computer-Aided Design,Computer Science Applications,Computer Vision and Pattern Recognition,Biomedical Engineering

Reference17 articles.

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Rapid evaporative ionization mass spectrometry: A survey through 15 years of applications;Journal of Separation Science;2024-05

2. ImSpect: Image-driven self-supervised learning for surgical margin evaluation with mass spectrometry;International Journal of Computer Assisted Radiology and Surgery;2024-04-10

3. Applications of ambient ionization mass spectrometry in 2022: An annual review;Analytical Science Advances;2023-04-26

4. Self-supervised learning and uncertainty estimation for surgical margin detection;Medical Imaging 2023: Image-Guided Procedures, Robotic Interventions, and Modeling;2023-04-03

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